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access ). ics t0860 wireless compromise monitor login sessions for new or unexpected devices or sessions on wireless networks. logon session : logon session metadata contextual data about a logon session, such as username, logon type, access tokens ( security context, user sids, logon identifiers, and logon sid ), and any activity associated within it logon session : logon session metadata contextual data about a logon session, such as username, logon type, access tokens ( security context, user sids, logon identifiers, and logon sid ), and any activity associated within it domain id name detects enterprise t1133 external remote services follow best practices for detecting adversary use of valid accounts for authenticating to remote services. collect authentication logs and analyze for unusual access patterns, windows of activity, and access outside of normal business hours. ics t0822 external remote services monitor authentication logs and analyze for unusual access patterns, windows of activity, and access outside of normal business hours, including use of valid accounts. enterprise t1606. 002 forge web credentials : saml tokens consider modifying saml responses to include custom elements for each service provider. monitor these custom elements in service provider access logs to detect any anomalous requests. [ 5 ] ics t0883 internet accessible device monitor logon activity for unexpected or unusual access to devices from the internet. enterprise t1621 multi - factor authentication request generation monitor 2fa / mfa application logs for suspicious events such as unusual login attempt source location, mismatch in location of login attempt and smart device approving 2fa / mfa request prompts. enterprise t1558 steal or forge kerberos tickets enable audit kerberos service ticket operations to log kerberos tgs service ticket requests. particularly investigate irregular patterns of activity ( ex : accounts making numerous requests, event id 4769, within a small time frame, especially if they also request rc4 encryption [ type 0x17 ] ). [ 14 ] [ 15 ]. 001 golden ticket monitor for anomalous kerberos activity, such as malformed or blank fields in windows logon / logoff events ( event id 4624, 4634, 4672 ). correlate other security systems with login information ( e. g., a user has the krbtgt account password hash and forges kerberos ticket - granting tickets ).. 00
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mitre
|
17987.txt
| 6 |
##2 silver ticket monitor for anomalous kerberos activity, such as malformed or blank fields in windows logon / logoff events ( event id 4624, 4634, 4672 ). enterprise t1199 trusted relationship correlate other security systems with login information ( e. g., a user has an active login session but has not entered the building or does not have vpn access ). enterprise t1078 valid accounts look for suspicious account behavior across systems that share accounts, either user, admin, or service accounts. examples : one account logged into multiple systems simultaneously ; multiple accounts logged into the same machine simultaneously ; accounts logged in at odd times or outside of business hours. activity may be from interactive login sessions or process ownership from accounts being used to execute binaries on a remote system as a particular account.. 002 domain accounts correlate other security systems with login information ( e. g., a user has an active login session but has not entered the building or does not have vpn access ).. 003 local accounts correlate other security systems with login information ( e. g., a user has an active login session but has not entered the building or does not have vpn access ).. 004 cloud accounts correlate other security systems with login information ( e. g., a user has an active login session but has not entered the building or does not have vpn access ). ics t0859 valid accounts monitor for suspicious account behavior across systems that share accounts, either user, admin, or service accounts. examples : one account logged into multiple systems simultaneously ; multiple accounts logged into the same machine simultaneously ; accounts logged in at odd times or outside of business hours. activity may be from interactive login sessions or process ownership from accounts being used to execute binaries on a remote system as a particular account. references microsoft. ( 2021, september 6 ). audit logon events. retrieved september 28, 2021. microsoft. ( 2017, july 19 ). configure audit settings for a site collection. retrieved april 4, 2018. microsoft. ( n. d. ). sharepoint sharing events. retrieved october 8, 2021. atlassian. ( 2018, january 9 ). how to enable user access logging. retrieved april 4, 2018. sygnia. ( 2020, december ). detection and hunting of golden saml attack. retrieved january 6, 2021. msrc
|
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mitre
|
17987.txt
| 7 |
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mitre
|
17987.txt
| 8 |
[CLS] malware repository information obtained ( via shared or submitted samples ) regarding malicious software ( droppers, backdoors, etc. ) used by adversaries id : ds0004 [UNK] platform : pre [UNK] collection layer : osint version : 1. 1 created : 20 october 2021 last modified : 20 october 2022 version permalink live version data components malware repository : malware content code, strings, and other signatures that compromise a malicious payload malware repository : malware content code, strings, and other signatures that compromise a malicious payload domain id name detects enterprise t1587 develop capabilities consider analyzing malware for features that may be associated with the adversary and / or their developers, such as compiler used, debugging artifacts, or code similarities. malware repositories can also be used to identify additional samples associated with the adversary and identify development patterns over time. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on related stages of the adversary lifecycle, such as during defense evasion or command and control.. 001 malware consider analyzing malware for features that may be associated with the adversary and / or their developers, such as compiler used, debugging artifacts, or code similarities. malware repositories can also be used to identify additional samples associated with the adversary and identify development patterns over time. enterprise t1588 obtain capabilities consider analyzing malware for features that may be associated with malware providers, such as compiler used, debugging artifacts, code similarities, or even group identifiers associated with specific malware - as - a - service ( maas ) offerings. malware repositories can also be used to identify additional samples associated with the developers and the adversary utilizing their services. identifying overlaps in malware use by different adversaries may indicate malware was obtained by the adversary rather than developed by them. in some cases, identifying overlapping characteristics in malware used by different adversaries may point to a shared quartermaster. [ 1 ] malware repositories can also be used to identify features of tool use associated with an adversary, such as watermarks in cobalt strike payloads. [ 2 ]. 001 malware consider analyzing malware for features that may be associated with malware providers, such as compiler used, debugging artifacts, code similarities, or even group identifiers associated with specific maas offerings. malware repositories can
|
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mitre
|
17988.txt
| 0 |
also be used to identify additional samples associated with the developers and the adversary utilizing their services. identifying overlaps in malware use by different adversaries may indicate malware was obtained by the adversary rather than developed by them. in some cases, identifying overlapping characteristics in malware used by different adversaries may point to a shared quartermaster. [ 1 ] malware repository : malware metadata contextual data about a malicious payload, such as compilation times, file hashes, as well as watermarks or other identifiable configuration information malware repository : malware metadata contextual data about a malicious payload, such as compilation times, file hashes, as well as watermarks or other identifiable configuration information domain id name detects enterprise t1587 develop capabilities monitor for contextual data about a malicious payload, such as compilation times, file hashes, as well as watermarks or other identifiable configuration information. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on related stages of the adversary lifecycle, such as during defense evasion or command and control.. 001 malware monitor for contextual data about a malicious payload, such as compilation times, file hashes, as well as watermarks or other identifiable configuration information. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on post - compromise phases of the adversary lifecycle.. 002 code signing certificates consider analyzing self - signed code signing certificates for features that may be associated with the adversary and / or their developers, such as the thumbprint, algorithm used, validity period, and common name. malware repositories can also be used to identify additional samples associated with the adversary and identify patterns an adversary has used in crafting self - signed code signing certificates. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on related follow - on behavior, such as code signing or install root certificate. enterprise t1588 obtain capabilities monitor for contextual data about a malicious payload, such as compilation times, file hashes, as well as watermarks or other identifiable configuration information. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on related stages of the adversary lifecycle, such as during defense evasion or command and control.. 001 malware monitor
|
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mitre
|
17988.txt
| 1 |
for contextual data about a malicious payload, such as compilation times, file hashes, as well as watermarks or other identifiable configuration information. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on post - compromise phases of the adversary lifecycle.. 002 tool monitor for contextual data about a malicious payload, such as compilation times, file hashes, as well as watermarks or other identifiable configuration information. in some cases, malware repositories can also be used to identify features of tool use associated with an adversary, such as watermarks in cobalt strike payloads. [ 2 ] much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on post - compromise phases of the adversary lifecycle.. 003 code signing certificates consider analyzing code signing certificates for features that may be associated with the adversary and / or their developers, such as the thumbprint, algorithm used, validity period, common name, and certificate authority. malware repositories can also be used to identify additional samples associated with the adversary and identify patterns an adversary has used in procuring code signing certificates. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on related follow - on behavior, such as code signing or install root certificate. references fireeye. ( 2014 ). supply chain analysis : from quartermaster to sunshopfireeye. retrieved march 6, 2017. maynier, e. ( 2020, december 20 ). analyzing cobalt strike for fun and profit. retrieved october 12, 2021. [SEP]
|
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102
] |
mitre
|
17988.txt
| 2 |
[CLS] module executable files consisting of one or more shared classes and interfaces, such as portable executable ( pe ) format binaries / dynamic link libraries ( dll ), executable and linkable format ( elf ) binaries / shared libraries, and mach - o format binaries / shared libraries [ 1 ] [ 2 ] id : ds0011 [UNK] platforms : linux, windows, macos [UNK] collection layer : host contributors : center for threat - informed defense ( ctid ) version : 1. 0 created : 20 october 2021 last modified : 30 march 2022 version permalink live version data components module : module load attaching a module into the memory of a process / program, typically to access shared resources / features provided by the module ( ex : sysmon eid 7 ) module : module load attaching a module into the memory of a process / program, typically to access shared resources / features provided by the module ( ex : sysmon eid 7 ) domain id name detects enterprise t1547 boot or logon autostart execution monitor dll loads by processes, specifically looking for dlls that are not recognized or not normally loaded into a process. look for abnormal process behavior that may be due to a process loading a malicious dll.. 002 authentication package monitor the lsa process for dll loads. windows 8. 1 and windows server 2012 r2 may generate events when unsigned dlls try to load into the lsa by setting the registry key hklm \ software \ microsoft \ windows nt \ currentversion \ image file execution options \ lsass. exe with auditlevel = 8. [ 3 ] [ 4 ]. 003 time providers there is no restriction on the number of custom time providers registrations, though each may require a dll payload written to disk. [ 5 ]. 004 winlogon helper dll new dlls written to system32 that don't correlate with known good software or patching may also be suspicious. look for abnormal process behavior that may be due to a process loading a malicious dll. data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as network connections made for command and control, learning details about the environment through discovery, and lateral movement.. 005 security support provider monitor the lsa process for dll loads. windows 8. 1 and windows server 2012 r2 may generate events when unsigned ssp dlls try to
|
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mitre
|
17989.txt
| 0 |
load into the lsa by setting the registry key hklm \ software \ microsoft \ windows nt \ currentversion \ image file execution options \ lsass. exe with auditlevel = 8. [ 3 ] [ 4 ]. 008 lsass driver also monitor dll load operations in lsass. exe. [ 6 ]. 010 port monitors monitor dlls that are loaded by spoolsv. exe for dlls that are abnormal. new dlls written to the system32 directory that don't correlate with known good software or patching may be suspicious.. 012 print processors monitor for abnormal dlls that are loaded by spoolsv. exe. print processors that don't correlate with known good software or patching may be suspicious. new print processor dlls are written to the print processor directory. enterprise t1059 command and scripting interpreter monitor for events associated with scripting execution, such as the loading of modules associated with scripting languages ( ex : jscript. dll or vbscript. dll ).. 001 powershell monitor for loading and / or execution of artifacts associated with powershell specific assemblies, such as system. management. automation. dll ( especially to unusual process names / locations ). [ 7 ] [ 8 ]. 005 visual basic monitor for the loading of modules associated with vb languages ( ex : vbscript. dll ).. 007 javascript monitor for the loading of modules associated with scripting languages ( ex : jscript. dll ). enterprise t1546 event triggered execution monitor dll loads by processes, specifically looking for dlls that are not recognized or not normally loaded into a process. look for abnormal process behavior that may be due to a process loading a malicious dll. data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as making network connections for command and control, learning details about the environment through discovery, and conducting lateral movement.. 006 lc _ load _ dylib addition monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 007 netsh helper dll monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not
|
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] |
mitre
|
17989.txt
| 1 |
recognized or not normally loaded into a process.. 009 appcert dlls monitor dll loads by processes, specifically looking for dlls that are not recognized or not normally loaded into a process. tools such as sysinternals autoruns may overlook appcert dlls as an auto - starting location. [ 9 ] [ 10 ]. 010 appinit dlls monitor dll loads by processes that load user32. dll and look for dlls that are not recognized or not normally loaded into a process.. 011 application shimming monitor dll loads by processes that load user32. dll and look for dlls that are not recognized or not normally loaded into a process.. 015 component object model hijacking likewise, if software dll loads are collected and analyzed, any unusual dll load that can be correlated with a com object registry modification may indicate com hijacking has been performed. ics t0823 graphical user interface monitor dll file events, specifically creation of these binary files as well as the loading of dlls into processes associated with remote graphical connections, such as rdp and vnc. remote services may be used to access a host ’ s gui. enterprise t1574 hijack execution flow monitor dlls loaded into a process and detect dlls that have the same file name but abnormal paths.. 001 dll search order hijacking monitor dlls loaded into a process and detect dlls that have the same file name but abnormal paths.. 002 dll side - loading monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 004 dylib hijacking monitor for dynamic libraries being loaded. run path dependent libraries can include lc _ load _ dylib, lc _ load _ weak _ dylib, and lc _ rpath. other special keywords are recognized by the macos loader are @ rpath, @ loader _ path, and @ executable _ path. [ 11 ] these loader instructions can be examined for individual binaries or frameworks using the otool - l command. objective - see's dylib hijacking scanner can be used to identify applications vulnerable to dylib hijacking. 005 executable installer file permissions weakness monitor dll / pe file events, specifically creation of these binary files
|
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] |
mitre
|
17989.txt
| 2 |
as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 006 dynamic linker hijacking monitor library metadata, such as a hash, and compare libraries that are loaded at process execution time against previous executions to detect differences that don't correlate with patching or updates.. 012 cor _ profiler monitor dll files that are associated with cor _ profiler environment variables. enterprise t1559 inter - process communication monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 001 component object model monitor for com objects loading dlls and other modules not typically associated with the application. [ 12 ]. 002 dynamic data exchange monitor processes for abnormal behavior indicative of dde abuse, such as microsoft office applications loading dlls and other modules not typically associated with the application or these applications spawning unusual processes ( such as cmd. exe ). enterprise t1556 modify authentication process monitor for new, unfamiliar dll files written to a domain controller and / or local computer. password filters will also show up as an autorun and loaded dll in lsass. exe. [ 13 ] if ad fs is in use, monitor the ad fs server for the creation of dlls as well as the loading of unrecognized or unsigned dlls into the microsoft. identityserver. servicehost application. [ 14 ]. 002 password filter dll monitor for new, unfamiliar dll files written to a domain controller and / or local computer. password filters will also show up as an autorun and loaded dll in lsass. exe. [ 13 ]. 007 hybrid identity monitor the hybrid identity solution in use for the loading of unauthorized dlls. for example, monitor all pta agent servers for the creation of dlls as well as the loading of dlls into the azureadconnectauthenticationagentservice process. [ 15 ] if ad fs is in use, monitor the ad fs server for the creation of dlls as well as the loading of unrecognized or unsigned dlls into the microsoft. identityserver. servicehost application. [ 14 ] enterprise t1106 native api monitor dll / pe file events, specifically creation of these binary files as well as
|
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] |
mitre
|
17989.txt
| 3 |
the loading of dlls into processes. utilization of the windows apis may involve processes loading / accessing system dlls associated with providing called functions ( ex : ntdll. dll, kernel32. dll, advapi32. dll, user32. dll, and gdi32. dll ). monitoring for dll loads, especially to abnormal / unusual or potentially malicious processes, may indicate abuse of the windows api. though noisy, this data can be combined with other indicators to identify adversary activity. enterprise t1027 obfuscated files or information monitoring module loads, especially those not explicitly included in import tables, may highlight obfuscated code functionality. dynamic malware analysis may also expose signs of code obfuscation. [ 16 ]. 007 dynamic api resolution monitoring module loads, especially those not explicitly included in import tables, may highlight obfuscated api function calls. dynamic malware analysis may also expose signs of function obfuscation, such as memory reads that correspond to addresses of api function code within modules. [ 16 ] enterprise t1137 office application startup monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 002 office test monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process. enterprise t1055 process injection monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 001 dynamic - link library injection monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 014 vdso hijacking monitor library load events, especially unusual creation of these binary files followed by loading into processes. look for libraries that are not recognized or not normally loaded into a process. enterprise t1620 reflective code loading monitor for artifacts of abnormal process execution. for example, a common signature related to reflective code loading on windows is mechanisms related to the. net common language runtime ( clr ) - - such as mscor. dll, mscoree. dll, and clr. dl
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] |
mitre
|
17989.txt
| 4 |
##l - - loading into abnormal processes ( such as notepad. exe ) enterprise t1021 remote services monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes, that may use valid accounts to log into a service specifically designed to accept remote connections, such as telnet, ssh, and vnc. the adversary may then perform actions as the logged - on user.. 003 distributed component object model monitor for com objects loading dlls and other modules not typically associated with the application. [ 17 ] ics t0886 remote services monitor dll file events, specifically creation of these files as well as the loading of dlls into processes specifically designed to accept remote connections, such as rdp, telnet, ssh, and vnc. ics t0853 scripting monitor for events associated with scripting execution, such as the loading of modules associated with scripting languages ( e. g., jscript. dll, vbscript. dll ). enterprise t1505. 005 server software component : terminal services dll monitor module loads by the terminal services process ( ex : svchost. exe - k termsvcs ) for unexpected dlls ( the default is % systemroot % \ system32 \ termsrv. dll, though an adversary could also use match legitimate name or location to potentially conceal a malicious payload ). enterprise t1129 shared modules monitoring dll module loads may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances, since benign use of windows modules load functions are common and may be difficult to distinguish from malicious behavior. legitimate software will likely only need to load routine, bundled dll modules or windows system dlls such that deviation from known module loads may be suspicious. limiting dll module loads to % systemroot % and % programfiles % directories will protect against module loads from unsafe paths. enterprise t1553 subvert trust controls enable cryptoapi v2 ( capi ) event logging [ 18 ] to monitor and analyze error events related to failed trust validation ( event id 81, though this event can be subverted by hijacked trust provider components ) as well as any other provided information events ( ex : successful validations ). code integrity event logging may also provide valuable indicators of malicious sip or trust provider loads, since protected processes that attempt to load a maliciously - crafted trust validation component will likely fail
|
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26686,
2011,
7632,
17364,
2098,
3404,
10802,
6177,
1007,
2004,
2092,
2004,
2151,
2060,
3024,
2592,
2824,
1006,
4654,
1024,
3144,
27354,
2015,
1007,
1012,
3642,
11109,
2724,
15899,
2089,
2036,
3073,
7070,
20390,
1997,
24391,
10668,
2030,
3404,
10802,
15665,
1010,
2144,
5123,
6194,
2008,
3535,
2000,
7170,
1037,
24391,
2135,
1011,
19275,
3404,
27354,
6922,
2097,
3497,
8246
] |
mitre
|
17989.txt
| 5 |
( event id 3033 ). [ 19 ]. 003 sip and trust provider hijacking enable cryptoapi v2 ( capi ) event logging [ 18 ] to monitor and analyze error events related to failed trust validation ( event id 81, though this event can be subverted by hijacked trust provider components ) as well as any other provided information events ( ex : successful validations ). code integrity event logging may also provide valuable indicators of malicious sip or trust provider loads, since protected processes that attempt to load a maliciously - crafted trust validation component will likely fail ( event id 3033 ). [ 19 ] enterprise t1218 system binary proxy execution monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 002 control panel monitor for dll / pe file events, such as the control _ rundll and controlrundllasuser api functions in shell32. dll.. 007 msiexec monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 008 odbcconf monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 010 regsvr32 monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process.. 011 rundll32 analyzing dll exports and comparing to runtime arguments may be useful in uncovering obfuscated function calls. enterprise t1220 xsl script processing monitor dll / pe file events, specifically creation of these binary files as well as the loading of dlls into processes. look for dlls that are not recognized or not normally loaded into a process. references microsoft. ( 2018, december 5 ). loadlibrarya function ( libloaderapi. h ). retrieved september 28, 2021. microsoft. ( n. d. ). module class. retrieved september 28, 2021. graeber, m. ( 2014, october ). analysis of malicious security support provider dlls. retrieved march 1, 2017
|
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mitre
|
17989.txt
| 6 |
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mitre
|
17989.txt
| 7 |
[CLS] wmi the infrastructure for management data and operations that enables local and remote management of windows personal computers and servers [ 1 ] [ 2 ] id : ds0005 [UNK] platform : windows [UNK] collection layer : host contributors : center for threat - informed defense ( ctid ) version : 1. 0 created : 20 october 2021 last modified : 10 november 2021 version permalink live version data components this data source does not have any techniques in the selected domain ( s ) wmi : wmi creation initial construction of a wmi object, such as a filter, consumer, subscription, binding, or provider ( ex : sysmon eids 19 - 21 ) wmi : wmi creation initial construction of a wmi object, such as a filter, consumer, subscription, binding, or provider ( ex : sysmon eids 19 - 21 ) domain id name detects enterprise t1546 event triggered execution monitor for newly constructed wmi objects that may establish persistence and / or elevate privileges using system mechanisms that trigger execution based on specific events.. 003 windows management instrumentation event subscription monitor wmi event subscription entries, comparing current wmi event subscriptions to known good subscriptions for each host. tools such as sysinternals autoruns may also be used to detect wmi changes that could be attempts at persistence. [ 3 ] [ 4 ] monitor for the creation of new wmi eventfilter, eventconsumer, and filtertoconsumerbinding events. event id 5861 is logged on windows 10 systems when new eventfiltertoconsumerbinding events are created. [ 5 ] enterprise t1027 obfuscated files or information monitor for the creation of wmi objects and values that may highlight storage of malicious data such as commands or payloads.. 011 fileless storage monitor for the creation of wmi objects and values that may highlight storage of malicious data such as commands or payloads. references microsoft. ( 2018, may 31 ). wmi system classes. retrieved september 29, 2021. microsoft. ( 2018, may 31 ). wmi architecture. retrieved september 29, 2021. russinovich, m. ( 2016, january 4 ). autoruns for windows v13. 51. retrieved june 6, 2016. french, d. ( 2018, october 9 ). detecting & removing an attacker ’ s wmi persistence. retrieved october 11, 2019. french, d., murphy, b. ( 2020, march 24 ). adversary tradecraft 101 :
|
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mitre
|
1799.txt
| 0 |
hunting for persistence using elastic security ( part 1 ). retrieved december 21, 2020. [SEP]
|
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mitre
|
1799.txt
| 1 |
[CLS] named pipe mechanisms that allow inter - process communication locally or over the network. a named pipe is usually found as a file and processes attach to it [ 1 ] id : ds0023 [UNK] platforms : linux, windows, macos [UNK] collection layer : host contributors : center for threat - informed defense ( ctid ) version : 1. 0 created : 20 october 2021 last modified : 30 march 2022 version permalink live version data components named pipe : named pipe metadata contextual data about a named pipe on a system, including pipe name and creating process ( ex : sysmon eids 17 - 18 ) named pipe : named pipe metadata contextual data about a named pipe on a system, including pipe name and creating process ( ex : sysmon eids 17 - 18 ) domain id name detects enterprise t1570 lateral tool transfer monitor for contextual data about named pipes on the system. references microsoft. ( 2018, may 31 ). named pipes. retrieved september 28, 2021. [SEP]
|
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mitre
|
17990.txt
| 0 |
[CLS] network share a storage resource ( typically a folder or drive ) made available from one host to others using network protocols, such as server message block ( smb ) or network file system ( nfs ) [ 1 ] id : ds0033 [UNK] platforms : linux, windows, macos [UNK] collection layer : host contributors : center for threat - informed defense ( ctid ) version : 1. 0 created : 20 october 2021 last modified : 30 march 2022 version permalink live version data components network share : network share access opening a network share, which makes the contents available to the requestor ( ex : windows eid 5140 or 5145 ) network share : network share access opening a network share, which makes the contents available to the requestor ( ex : windows eid 5140 or 5145 ) domain id name detects enterprise t1486 data encrypted for impact monitor for unexpected network shares being accessed on target systems or on large numbers of systems. ics t0811 data from information repositories in the case of detecting collection from shared network drives monitor for unexpected and abnormal accesses to network shares. for added context on adversary procedures and background see data from network shared drive. enterprise t1039 data from network shared drive monitor for unexpected and abnormal accesses to network shares. enterprise t1570 lateral tool transfer monitor for unexpected network share access, such as files transferred between shares within a network using protocols such as smb. ics t0867 lateral tool transfer monitor for unexpected network share access, such as files transferred between shares within a network using protocols such as server message block ( smb ). enterprise t1021 remote services monitor interactions with network shares, such as reads or file transfers, using remote services such as server message block ( smb ).. 002 smb / windows admin shares monitor interactions with network shares, such as reads or file transfers, using server message block ( smb ). ics t0886 remote services monitor interactions with network shares, such as reads or file transfers, using remote services such as server message block ( smb ). for added context on adversary procedures and background see remote services and applicable sub - techniques. enterprise t1080 taint shared content monitor for unexpected and abnormal accesses to network shares, especially those also associated with file activity. references microsoft. ( 2018, july 9 ). network file system overview. retrieved september 28, 2021. [SEP]
|
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] |
mitre
|
17991.txt
| 0 |
[CLS] network traffic data transmitted across a network ( ex : web, dns, mail, file, etc. ), that is either summarized ( ex : netflow ) and / or captured as raw data in an analyzable format ( ex : pcap ) id : ds0029 [UNK] platforms : iaas, linux, windows, macos [UNK] collection layers : cloud control plane, host, network contributors : center for threat - informed defense ( ctid ) ; extrahop version : 1. 1 created : 20 october 2021 last modified : 20 october 2022 version permalink live version data components network traffic : network connection creation initial construction of a network connection, such as capturing socket information with a source / destination ip and port ( s ) ( ex : windows eid 5156, sysmon eid 3, or zeek conn. log ) network traffic : network connection creation initial construction of a network connection, such as capturing socket information with a source / destination ip and port ( s ) ( ex : windows eid 5156, sysmon eid 3, or zeek conn. log ) domain id name detects enterprise t1020 automated exfiltration monitor for newly constructed network connections associated with processes performing collection activity, especially those involving abnormal / untrusted hosts.. 001 traffic duplication monitor for newly constructed network connections that are sent or received by abnormal or untrusted hosts. enterprise t1197 bits jobs monitor for newly constructed network activity generated by bits. bits jobs use http ( s ) and smb for remote connections and are tethered to the creating user and will only function when that user is logged on ( this rule applies even if a user attaches the job to a service account ). enterprise t1176 browser extensions monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1612 build image on host monitor for established network communications with anomalous ips that have never been seen before in the environment that may indicate the download of malicious code. enterprise t1602 data from configuration repository monitor for newly constructed network connections that are sent or received by untrusted hosts or uncommon data flows. consider analyzing packet contents to detect application layer protocols, leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g. unauthorized, gratuitous, or anomalous traffic patterns attempting to access configuration content ). 001 snmp ( mi
|
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9626,
15534,
4026,
7060,
7161,
2000,
3229,
9563,
4180,
1007,
1012,
25604,
1055,
2078,
8737,
1006,
2771
] |
mitre
|
17992.txt
| 0 |
##b dump ) monitor for newly constructed network connections that are sent or received by untrusted hosts or uncommon data flows. consider analyzing packet contents to detect application layer protocols, leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g. snmp traffic originating from unauthorized or untrusted hosts, signature detection for strings mapped to device configuration ( s ), and anomolies in snmp request ( s ) ). 002 network device configuration dump monitor for newly constructed network connections that are sent or received by untrusted hosts or uncommon data flows. consider analyzing packet contents to detect application layer protocols, leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g. unauthorized, gratuitous, or anomalous traffic patterns attempting to access network configuration content ) enterprise t1039 data from network shared drive monitor for newly constructed network connections that may search network shares on computers they have compromised to find files of interest enterprise t1030 data transfer size limits monitor for newly constructed network connections that are sent or received by untrusted hosts or uncommon data flows ( e. g. unusual network communications or suspicious communications sending fixed size data packets at regular intervals as well as unusually long connection patterns ). consider analyzing packet contents to detect application layer protocols, leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, protocol port mismatch, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments ( e. g. monitor anomalies in use of files that don't normally initiate network connections or unusual connections initiated enterprise t1189 drive - by compromise monitor for newly constructed network connections to untrusted hosts that are used to send or receive data. ics t0817 drive - by compromise monitor for newly constructed network connections to untrusted hosts that are used to send or receive data. enterprise t1568 dynamic resolution monitor for newly constructed network connections that are sent or received by untrusted hosts.. 001 fast flux dns monitor for newly constructed network connections that may use fast flux dns to hide a command and control channel behind an array of rapidly changing ip addresses linked to a single domain resolution.
|
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mitre
|
17992.txt
| 1 |
enterprise t1114 email collection monitor for newly constructed network connections that are sent or received by untrusted hosts.. 002 remote email collection monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1048 exfiltration over alternative protocol monitor for newly constructed network connections that are sent or received by untrusted hosts.. 001 exfiltration over symmetric encrypted non - c2 protocol monitor for newly constructed network connections that are sent or received by untrusted hosts.. 002 exfiltration over asymmetric encrypted non - c2 protocol monitor for newly constructed network connections that are sent or received by untrusted hosts.. 003 exfiltration over unencrypted non - c2 protocol monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1041 exfiltration over c2 channel monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1011 exfiltration over other network medium monitor for newly constructed network connections that may attempt to exfiltrate data over a different network medium than the command and control channel. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 exfiltration over bluetooth monitor for newly constructed network connections that may attempt to exfiltrate data over bluetooth rather than the command and control channel. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1567 exfiltration over web service monitor for newly constructed network connections to web and cloud services associated with abnormal or non - browser processes.. 002 exfiltration to cloud storage monitor for newly constructed network connections to cloud services associated with abnormal or non - browser processes. enterprise t1133 external remote services monitor for newly constructed network connections that may use valid accounts to access and / or persist within a network using external remote services. use of external remote services may be legitimate depending on the environment and how it ’ s used. other factors, such as access patterns and activity that occurs after a remote login, may indicate suspicious or malicious behavior using external remote services. enterprise t1008 fallback channels monitor for newly constructed network connections that may use fallback or alternate communication channels if the primary channel is compromised or inaccessible in order to maintain reliable command and control and to avoid data transfer thresholds. processes utilizing the network that don't normally have network communication or have never been seen before may be suspicious. enterprise t1105
|
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mitre
|
17992.txt
| 2 |
ingress tool transfer monitor for newly constructed network connections that are sent or received by untrusted hosts or creating files on - system may be suspicious. use of utilities, such as ftp, that does not normally occur may also be suspicious. enterprise t1104 multi - stage channels monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1542 pre - os boot monitor for newly constructed network device configuration and system image against a known - good version to discover unauthorized changes to system boot, startup configuration, or the running os. the same process can be accomplished through a comparison of the run - time memory, though this is non - trivial and may require assistance from the vendor.. 005 tftp boot monitor for newly constructed network device configuration and system image against a known - good version to discover unauthorized changes to system boot, startup configuration, or the running os. [ 1 ] [ 2 ] the same process can be accomplished through a comparison of the run - time memory, though this is non - trivial and may require assistance from the vendor. enterprise t1572 protocol tunneling monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1090 proxy monitor for newly constructed network connections that are sent or received by untrusted hosts.. 001 internal proxy monitor for newly constructed network connections that are sent or received by untrusted hosts.. 002 external proxy monitor for newly constructed network connections that are sent or received by untrusted hosts.. 003 multi - hop proxy monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1219 remote access software monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1021 remote services monitor for newly constructed network connections that may use valid accounts to log into a service specifically designed to accept remote connections, such as rdp, telnet, ssh, and vnc. monitor network connections involving common remote management protocols, such as ports tcp : 3283 and tcp : 5900, as well as ports tcp : 3389 and tcp : 22 for remote login.. 001 remote desktop protocol monitor for newly constructed network connections ( typically over port 3389 ) that may use valid accounts to log into a computer using the remote desktop protocol ( rdp ). the adversary may then perform actions as the logged - on user. other factors, such as access patterns and activity that occurs after a remote login
|
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mitre
|
17992.txt
| 3 |
, may indicate suspicious or malicious behavior with rdp.. 002 smb / windows admin shares monitor for newly constructed network connections ( typically over ports 139 or 445 ), especially those that are sent or received by abnormal or untrusted hosts. correlate these network connections with remote login events and associated smb - related activity such as file transfers and remote process execution.. 003 distributed component object model monitor for newly constructed network connections that may use valid accounts to interact with remote machines using distributed component object model ( dcom ). the adversary may then perform actions as the logged - on user. monitor for any influxes or abnormal increases in dcom related distributed computing environment / remote procedure call ( dce / rpc ) traffic ( typically over port 135 ).. 004 ssh monitor for newly constructed network connections ( typically port 22 ) that may use valid accounts to log into remote machines using secure shell ( ssh ). use of ssh may be legitimate depending on the environment and how it ’ s used. other factors, such as access patterns and activity that occurs after a remote login, may indicate suspicious or malicious behavior with ssh.. 005 vnc monitor for newly constructed network connections that may use valid accounts to remotely control machines using virtual network computing ( vnc ). use of vnc may be legitimate depending on the environment and how it ’ s used. other factors, such as access patterns and activity that occurs after a remote login, may indicate suspicious or malicious behavior using vnc.. 006 windows remote management monitor for newly constructed network connections using windows remote management ( winrm ), such as remote wmi connection attempts ( typically over port 5985 when using http and 5986 for https ). ics t0886 remote services monitor for newly constructed network connections into a service specifically designed to accept remote connections, such as rdp, telnet, ssh, and vnc. monitor network connections involving common remote management protocols, such as ports tcp : 3283 and tcp : 5900, as well as ports tcp : 3389 and tcp : 22 for remote logins. the adversary may use valid accounts to enable remote logins. enterprise t1018 remote system discovery monitor for newly constructed network connections associated with pings / scans that may attempt to get a listing of other systems by ip address, hostname, or other logical identifier on a network that may be used for lateral movement from the current system. enterprise t1496
|
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mitre
|
17992.txt
| 4 |
resource hijacking monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1029 scheduled transfer monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1218 system binary proxy execution monitor for newly constructed network connections that are sent or received by untrusted hosts.. 003 cmstp monitor for newly constructed network connections that are sent or received by untrusted hosts, such as sysmon event 3 ( network connection ) where image contains cmstp. exe and destinationip is external.. 005 mshta monitor for newly constructed network connections that are sent or received by untrusted hosts.. 007 msiexec monitor for newly constructed network connections that are sent or received by untrusted hosts.. 010 regsvr32 monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1221 template injection monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1205 traffic signaling monitor for newly constructed network connections that are sent or received by untrusted hosts.. 001 port knocking monitor for newly constructed network connections that are sent or received by untrusted hosts.. 002 socket filters monitor recently started applications creating raw socket connections. [ 3 ] enterprise t1204 user execution monitor for newly constructed web - based network connections that are sent to malicious or suspicious destinations ( e. g. destinations attributed to phishing campaigns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments ( e. g. monitor anomalies in use of files that don't normally initiate network connections or unusual connections initiated by regsvr32. exe, rundll. exe,. scf, hta, msi, dlls, or msiexec. exe ).. 001 malicious link monitor for newly constructed web - based network connections that are sent to malicious or suspicious destinations ( e. g. destinations attributed to phishing campaigns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments ( e. g. monitor anomalies in use of files that don't normally initiate network connections or unusual connections initiated by regsvr32. exe, rundll. exe,. scf, hta, msi, dlls, or msiexec. exe ). ics t0
|
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mitre
|
17992.txt
| 5 |
##863 user execution monitor for newly constructed web - based network connections that are sent to malicious or suspicious destinations ( e. g., destinations attributed to phishing campaigns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments ( e. g., monitor anomalies in use of files that don't normally initiate network connections or unusual connections initiated by regsvr32. exe, rundll. exe, scf, hta, msi, dlls, or msiexec. exe ). enterprise t1102 web service monitor for newly constructed network connections that are sent or received by untrusted hosts.. 002 bidirectional communication monitor for newly constructed network connections that are sent or received by untrusted hosts.. 003 one - way communication monitor for newly constructed network connections that are sent or received by untrusted hosts. enterprise t1047 windows management instrumentation monitor network traffic for wmi connections ; the use of wmi in environments that don't typically use wmi may be suspect. network traffic : network traffic content logged network traffic data showing both protocol header and body values ( ex : pcap ) network traffic : network traffic content logged network traffic data showing both protocol header and body values ( ex : pcap ) domain id name detects enterprise t1087. 002 account discovery : domain account monitor and analyze traffic patterns and packet inspection associated to ldap and msrpc that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). ics t0800 activate firmware update mode monitor ics automation network protocols for information that an asset has been placed into firmware update mode. enterprise t1595 active scanning monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 vulnerability scanning monitor and analyze traffic patterns and packet inspection
|
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mitre
|
17992.txt
| 6 |
associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 wordlist scanning monitor for suspicious network traffic that could be indicative of scanning, such as large quantities originating from a single source ( especially if the source is known to be associated with an adversary / botnet ). enterprise t1557 adversary - in - the - middle monitor network traffic for anomalies associated with known aitm behavior.. 001 llmnr / nbt - ns poisoning and smb relay monitor for traffic on ports udp 5355 and udp 137 if llmnr / netbios is disabled by security policy.. 002 arp cache poisoning monitor network traffic for unusual arp traffic, gratuitous arp replies may be suspicious. consider collecting changes to arp caches across endpoints for signs of arp poisoning. for example, if multiple ip addresses map to a single mac address, this could be an indicator that the arp cache has been poisoned.. 003 dhcp spoofing monitor network traffic for suspicious / malicious behavior involving dhcp, such as changes in dns and / or gateway parameters. additionally, monitor network traffic for rogue dhcpv6 activity. ics t0830 adversary - in - the - middle monitor network traffic for anomalies associated with known aitm behavior. for collection activity where transmitted data is not manipulated, anomalies may be present in network management protocols ( e. g., arp, dhcp ). enterprise t1071 application layer protocol monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use
|
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mitre
|
17992.txt
| 7 |
of files that don't normally initiate connections for respective protocol ( s ) ).. 001 web protocols monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 file transfer protocols monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 mail protocols monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 004 dns monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for dns over tls ( dot ) and dns over https ( doh ), that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and
|
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] |
mitre
|
17992.txt
| 8 |
command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0802 automated collection monitor for information collection on assets that may indicate deviations from standard operational tools. examples include unexpected industrial automation protocol functions, new high volume communication sessions, or broad collection across many hosts within the network. enterprise t1020 automated exfiltration monitor network traffic content for evidence of data exfiltration, such as gratuitous or anomalous outbound traffic containing collected data. consider correlation with process monitoring and command lines associated with collection and exfiltration. ics t0806 brute force i / o monitor network traffic for ics functions related to write commands for an excessive number of i / o points or manipulating a single value an excessive number of times. enterprise t1612 build image on host monitor for network traffic associated with requests and / or downloads of container images, especially those that may be anomalous or known malicious. ics t0858 change operating mode monitor ics management protocols for functions that change an asset ’ s operating mode. ics t0885 commonly used port monitor for mismatches between protocols and their expected ports ( e. g., non - http traffic on tcp : 80 ). analyze packet contents to detect communications that don't follow the expected protocol behavior for the port that is being used. [ 4 ] enterprise t1586 compromise accounts monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 social media accounts monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command
|
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mitre
|
17992.txt
| 9 |
line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0884 connection proxy monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g., extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g., monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1132 data encoding monitor for network data for uncommon data flows ( e. g., a client sending significantly more data than it receives from a server ). processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. analyze packet contents to detect communications that don't follow the expected protocol behavior for the port that is being used.. 001 standard encoding monitor for network data for uncommon data flows ( e. g., a client sending significantly more data than it receives from a server ). processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. analyze packet contents to detect communications that don't follow the expected protocol behavior for the port that is being used.. 002 non - standard encoding monitor for network data for uncommon data flows ( e. g., a client sending significantly more data than it receives from a server ). processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. analyze packet contents to detect communications that don't follow the expected protocol behavior for the port that is being used. enterprise t1602 data from configuration repository monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g. unauthorized, gratuitous, or anomalous traffic patterns attempting to access configuration content ). 001 snmp ( mib dump ) monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flow ( e. g. snmp traffic originating from unauthorized or untrusted hosts, signature detection for strings mapped to device configuration
|
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mitre
|
17992.txt
| 10 |
( s ), and anomolies in snmp request ( s ) ). 002 network device configuration dump monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g. unauthorized, gratuitous, or anomalous traffic patterns attempting to access network configuration content ) enterprise t1039 data from network shared drive monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1565 data manipulation monitor for networks that solicits and obtains the configuration information of the queried device.. 002 transmitted data manipulation monitor for networks that solicits and obtains the configuration information of the queried device. enterprise t1001 data obfuscation monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 junk data monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 00
|
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mitre
|
17992.txt
| 11 |
##2 steganography monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ).. 003 protocol impersonation monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1491 defacement monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g. unauthorized, gratuitous, or anomalous traffic patterns attempting to access internal and external websites and services ). consider correlating with application monitoring for indication of unplanned service interruptions or unauthorized content changes.. 001 internal defacement monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 external defacement monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g.
|
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] |
mitre
|
17992.txt
| 12 |
monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0812 default credentials monitor network traffic for default credential use in protocols that allow unencrypted authentication. ics t0814 denial of service monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g., extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g., monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0868 detect operating mode monitor ics automation network protocols for functions related to reading an asset ’ s operating mode. in some cases, there may be multiple ways to detect a device ’ s operating mode, one of which is typically used in the operational environment. monitor for the operating mode being checked in unexpected ways. ics t0816 device restart / shutdown monitor ics automation protocols for functions that restart or shutdown a device. commands to restart or shutdown devices may also be observable in traditional it management protocols. enterprise t1482 domain trust discovery monitor and analyze traffic patterns and packet inspection associated to ldap and msrpc that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). enterprise t1189 drive - by compromise monitor for other unusual network traffic that may indicate additional tools transferred to the system. use network intrusion detection systems, sometimes with ssl / tls inspection, to look for known malicious scripts ( recon, heap spray, and browser identification scripts have been frequently reused ), common script obfuscation, and exploit code. ics t0817 drive - by compromise monitor for unusual network traffic that may indicate additional tools transferred to the system. use network intrusion detection systems, sometimes with ssl / tls inspection, to look for known malicious scripts ( recon, heap spray, and browser identification scripts have been frequently reused ), common script obfuscation, and exploit code. enterprise t1568 dynamic resolution monitor and analyze
|
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17908
] |
mitre
|
17992.txt
| 13 |
traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 dns calculation monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1573 encrypted channel monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 symmetric cryptography monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 asymmetric cryptography monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gr
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] |
mitre
|
17992.txt
| 14 |
##atuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1499 endpoint denial of service monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 os exhaustion flood monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 service exhaustion flood monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 application exhaustion flood monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and
|
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9626,
15534,
20231,
1010,
2030,
3252,
1007,
1012,
5136,
16902,
2007,
2832,
8822,
1998
] |
mitre
|
17992.txt
| 15 |
command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 004 application or system exploitation monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1585 establish accounts monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 social media accounts monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1048 exfiltration over alternative protocol monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s
|
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mitre
|
17992.txt
| 16 |
) ).. 001 exfiltration over symmetric encrypted non - c2 protocol monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 exfiltration over asymmetric encrypted non - c2 protocol monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 exfiltration over unencrypted non - c2 protocol monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1041 exfiltration over c2 channel monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1011 exfiltration over other network medium
|
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mitre
|
17992.txt
| 17 |
monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 exfiltration over bluetooth monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1567 exfiltration over web service monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 exfiltration to code repository monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 exfiltration to cloud storage monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't
|
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mitre
|
17992.txt
| 18 |
belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1190 exploit public - facing application use deep packet inspection to look for artifacts of common exploit traffic, such as sql injection strings or known payloads. ics t0819 exploit public - facing application use deep packet inspection to look for artifacts of common exploit traffic, such as known payloads. enterprise t1210 exploitation of remote services use deep packet inspection to look for artifacts of common exploit traffic, such as known payloads. ics t0866 exploitation of remote services use deep packet inspection to look for artifacts of common exploit traffic, such as known payloads. enterprise t1133 external remote services monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1187 forced authentication for internal traffic, monitor the workstation - to - workstation unusual ( vs. baseline ) smb traffic. for many networks there should not be any, but it depends on how systems on the network are configured and where resources are located. enterprise t1589 gather victim identity information monitor for suspicious network traffic that could be indicative of probing for user information, such as large / iterative quantities of authentication requests originating from a single source ( especially if the source is known to be associated with an adversary / botnet ). analyzing web metadata may also reveal artifacts that can be attributed to potentially malicious activity, such as referer or user - agent string http / s fields.. 002 email addresses monitor for suspicious network traffic that could be indicative of probing for email addresses and / or usernames, such as large / iterative quantities of authentication requests originating from a single source ( especially if the source is known to be associated with an adversary / botnet )
|
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mitre
|
17992.txt
| 19 |
. analyzing web metadata may also reveal artifacts that can be attributed to potentially malicious activity, such as referer or user - agent string http / s fields. enterprise t1615 group policy discovery monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0891 hardcoded credentials monitor network traffic for hardcoded credential use in protocols that allow unencrypted authentication. enterprise t1070 indicator removal monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 005 network share connection removal monitoring for smb traffic between systems may also be captured and decoded to look for related network share session and file transfer activity. enterprise t1105 ingress tool transfer monitor network traffic content for files and other potentially malicious content, especially data coming in from abnormal / unknown domain and ips. enterprise t1534 internal spearphishing monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0883 internet accessible device monitor for unusual logins to internet connected devices or unexpected protocols to / from the internet
|
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mitre
|
17992.txt
| 20 |
. network traffic content will provide valuable context and details about the content of network flows. enterprise t1570 lateral tool transfer monitor for unusual processes with internal network connections creating files on - system may be suspicious ics t0867 lateral tool transfer monitor for unusual processes with internal network connections creating files on - system which may be suspicious. ics t0838 modify alarm settings monitor for alarm setting changes observable in automation or management network protocols. ics t0836 modify parameter monitor ics management protocols for parameter changes, including for unexpected values, changes far exceeding standard values, or for parameters being changed in an unexpected way ( e. g., via a new function, at an unusual time ). ics t0889 modify program monitor device management protocols for functions that modify programs such as online edit and program append events. ics t0839 module firmware monitor ics management protocols / file transfer protocols for protocol functions related to firmware changes. ics t0801 monitor process state monitor ics automation network protocols for functions related to reading an operational process state ( e. g., " read " function codes in protocols like dnp3 or modbus ). in some cases, there may be multiple ways to monitor an operational process ’ state, one of which is typically used in the operational environment. monitor for the operating mode being checked in unexpected ways. enterprise t1599 network boundary bridging monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 network address translation traversal monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that do
|
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mitre
|
17992.txt
| 21 |
not normally initiate connections for respective protocol ( s ) ). enterprise t1095 non - application layer protocol monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1571 non - standard port analyze packet contents to detect communications that don't follow the expected protocol behavior for the port that is being used. url enterprise t1003 os credential dumping monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 006 dcsync monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1566 phishing monitor and analyze ssl / tls traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that
|
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mitre
|
17992.txt
| 22 |
do not normally initiate connections for respective protocol ( s ) ). filtering based on dkim + spf or header analysis can help detect when the email sender is spoofed. [ 5 ] [ 6 ]. 001 spearphishing attachment monitor and analyze ssl / tls traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). filtering based on dkim + spf or header analysis can help detect when the email sender is spoofed. [ 5 ] [ 6 ]. 002 spearphishing link monitor and analyze ssl / tls traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g. extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). furthermore, monitor network traffic for cloned sites as well as homographs via the use of internationalized domain names abusing different character sets ( e. g. cyrillic vs latin versions of trusted sites ).. 003 spearphishing via service monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1598 phishing for information monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic
|
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mitre
|
17992.txt
| 23 |
flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 spearphishing service monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 spearphishing attachment monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 spearphishing link monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). furthermore, monitor network traffic for homographs via the use of internationalized domain names abusing different character sets ( e. g. cyrillic vs latin versions of trusted sites ). also monitor and analyze traffic patterns and packet inspection for indicators of cloned websites. for example, if ad
|
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mitre
|
17992.txt
| 24 |
##versaries use httrack to clone websites, mirrored from ( victim url ) may be visible in the html section of packets. ics t0861 point & tag identification monitor ics automation protocols for anomalies related to reading point or tag data, such as new assets using these functions, changes in volume or timing, or unusual information being queried. many protocols provide multiple ways to achieve the same result ( e. g., functions with / without an acknowledgment or functions that operate on a single point vs. multiple points ). monitor for changes in the functions used. ics t0843 program download monitor for protocol functions related to program download or modification. program downloads may be observable in ics automation protocols and remote management protocols. ics t0845 program upload program uploads may be observable in ics management protocols or file transfer protocols. note when protocol functions related to program uploads occur. in cases where the ics protocols is not well understood, one option is to examine network traffic for the program files themselves using signature - based tools. enterprise t1572 protocol tunneling monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1090 proxy monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 internal proxy monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gr
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] |
mitre
|
17992.txt
| 25 |
##atuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 external proxy monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 multi - hop proxy monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 004 domain fronting monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1219 remote access software monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns (
|
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] |
mitre
|
17992.txt
| 26 |
e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1563 remote service session hijacking monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 ssh hijacking monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 rdp hijacking monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0846 remote system discovery monitor for anomalies related to discovery related ics functions, including devices that have not previously used these functions or for functions being sent to many outstations. note that some ics protocols use broadcast or multicast functionality, which may produce false positives. also monitor for hosts enumerating network connected resources using non - ics enterprise protocols. ics t0888 remote system information discovery monitor for anomalies related to discovery related ics functions, including devices that have not previously used
|
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] |
mitre
|
17992.txt
| 27 |
these functions or for functions being sent to many outstations. note that some ics protocols use broadcast or multicast functionality, which may produce false positives. also monitor for hosts enumerating network connected resources using non - ics enterprise protocols. enterprise t1207 rogue domain controller monitor and analyze network traffic associated with data replication ( such as calls to drsaddentry, drsreplicaadd, and especially getncchanges ) between dcs as well as to / from non dc hosts. [ 7 ] [ 8 ] dc replication will naturally take place every 15 minutes but can be triggered by an adversary or by legitimate urgent changes ( ex : passwords ). ics t0848 rogue master monitor for unexpected ics protocol functions from new and existing devices. monitoring known devices requires ics function level insight to determine if an unauthorized device is issuing commands ( e. g., a historian ). enterprise t1505 server software component monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). [ 9 ]. 003 web shell monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0865 spearphishing attachment monitor network traffic for suspicious email attachments. consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g., monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).
|
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] |
mitre
|
17992.txt
| 28 |
use web proxies to review content of emails including sender information, headers, and attachments for potentially malicious content. ics t0856 spoof reporting message spoofed reporting messages may be detected by reviewing the content of automation protocols, either through detecting based on expected values or comparing to other out of band process data sources. spoofed messages may not precisely match legitimate messages which may lead to malformed traffic, although traffic may be malformed for many benign reasons. monitor reporting messages for changes in how they are constructed. various techniques enable spoofing a reporting message. consider monitoring for rogue master and adversary - in - the - middle activity. ics t0869 standard application layer protocol monitor and analyze traffic patterns and packet inspection associated to protocol ( s ), leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g., extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g., monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0857 system firmware monitor ics management protocols / file transfer protocols for protocol functions related to firmware changes. enterprise t1033 system owner / user discovery monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1221 template injection monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns
|
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mitre
|
17992.txt
| 29 |
( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1205 traffic signaling monitor and analyze network packet contents to detect application layer protocols, leveraging ssl / tls inspection for encrypted traffic, that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, protocol port mismatch, anomalous syntax, or structure ). consider packet inspection for wake - on - lan magic packet consists of 6 bytes of ff followed by sixteen repetitions of the target system's ieee address. seeing this string anywhere in a packet's payload may be indicative of a wake - on - lan attempt. [ 10 ] enterprise t1537 transfer data to cloud account monitor network traffic content for evidence of data exfiltration, such as gratuitous or anomalous internal traffic containing collected data. consider correlation with process monitoring and command lines associated with collection and exfiltration. enterprise t1199 trusted relationship monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ) from a trusted entity. consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0855 unauthorized command message monitor for unexpected ics protocol command functions to controllers from existing master devices ( including from new processes ) or from new devices. the latter is like detection for rogue master but requires ics function level insight to determine if an unauthorized device is issuing commands ( e. g., a historian ). monitoring for unexpected or problematic values below the function level will provide better insights into potentially malicious activity but at the cost of additional false positives depending on the underlying operational process. enterprise t1204 user execution monitor and analyze traffic patterns and packet inspection associated with web - based network connections that are sent to malicious or suspicious detinations ( e. g. destinations attributed to phishing campaigns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments ( e. g. monitor anomalies in use of files that do
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mitre
|
17992.txt
| 30 |
not normally initiate network connections or unusual connections initiated by regsvr32. exe, rundll. exe,. scf, hta, msi, dlls, or msiexec. exe ).. 001 malicious link monitor and analyze traffic patterns and packet inspection associated with web - based network connections that are sent to malicious or suspicious detinations ( e. g. destinations attributed to phishing campaigns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments ( e. g. monitor anomalies in use of files that don't normally initiate network connections or unusual connections initiated by regsvr32. exe, rundll. exe,. scf, hta, msi, dlls, or msiexec. exe ). ics t0863 user execution monitor and analyze traffic patterns and packet inspection associated with web - based network connections that are sent to malicious or suspicious destinations ( e. g., destinations attributed to phishing campaigns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments ( e. g., monitor anomalies in use of files that don't normally initiate network connections or unusual connections initiated by regsvr32. exe, rundll. exe, scf, hta, msi, dlls, or msiexec. exe ). enterprise t1102 web service monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 dead drop resolver monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor
|
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mitre
|
17992.txt
| 31 |
anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 bidirectional communication monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 one - way communication monitor and analyze traffic patterns and packet inspection associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). network traffic : network traffic flow summarized network packet data, with metrics, such as protocol headers and volume ( ex : netflow or zeek url network traffic : network traffic flow summarized network packet data, with metrics, such as protocol headers and volume ( ex : netflow or zeek url domain id name detects enterprise t1595 active scanning monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 scanning ip blocks monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 vulnerability scanning monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1557 adversary - in - the - middle monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware.. 001 llmnr / nbt - ns poisoning and smb relay monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata
|
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mitre
|
17992.txt
| 32 |
( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware.. 002 arp cache poisoning monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware.. 003 dhcp spoofing monitor network traffic for anomalies associated with known aitm behavior. consider monitoring for modifications to system configuration files involved in shaping network traffic flow. ics t0830 adversary - in - the - middle monitor for network traffic originating from unknown / unexpected hosts. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware. for added context on adversary procedures and background see adversary - in - the - middle and applicable sub - techniques. ics t0878 alarm suppression monitor for loss of network traffic which could indicate alarms are being suppressed. a loss of expected communications associated with network protocols used to communicate alarm events or process data could indicate this technique is being used. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. enterprise t1071 application layer protocol monitor and analyze traffic flows that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 001 web protocols monitor for web traffic to / from known - bad or suspicious domains and analyze traffic flows that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 002 file transfer protocols monitor and analyze traffic flows that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that do
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mitre
|
17992.txt
| 33 |
not belong to established flows, or gratuitous or anomalous traffic patterns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 003 mail protocols monitor and analyze traffic flows that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ).. 004 dns monitor for dns traffic to / from known - bad or suspicious domains and analyze traffic flows that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1020 automated exfiltration monitor and analyze network flows associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider analyzing newly constructed network connections that are sent or received by untrusted hosts, unexpected hardware devices, or other uncommon data flows.. 001 traffic duplication monitor and analyze network flows associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider analyzing newly constructed network connections that are sent or received by untrusted hosts, unexpcted hardware devices, or other uncommon data flows. ics t0803 block command message monitor for a loss of network communications, which may indicate this technique is being used. ics t0804 block reporting message monitor for a loss of network communications, which may indicate this technique is being used. ics t0805 block
|
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mitre
|
17992.txt
| 34 |
serial com monitor for a loss of network communications, which may indicate this technique is being used. enterprise t1612 build image on host monitor for established network communications with anomalous ips that have never been seen before in the environment that may indicate the download of malicious code. ics t0885 commonly used port analyze network data for uncommon data flows ( e. g., new protocols in use between hosts, unexpected ports in use ). processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0884 connection proxy monitor for known proxy protocols ( e. g., socks, tor, peer - to - peer protocols ) and tool usage ( e. g., squid, peer - to - peer software ) on the network that are not part of normal operations. also monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1565 data manipulation monitor for network traffic originating from unknown / unexpected hardware devices.. 002 transmitted data manipulation monitor for network traffic originating from unknown / unexpected hardware devices. enterprise t1030 data transfer size limits monitor and analyze traffic flows that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g. monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). ics t0814 denial of service monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0816 device restart / shutdown monitor for a loss of network communications, which may indicate a device has been shutdown or restarted. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. enterprise t1568 dynamic resolution monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 fast flux dns in general, detecting usage of fast flux dns is difficult due to web traffic load balancing that services client requests quickly. in single flux cases only ip addresses change for static
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mitre
|
17992.txt
| 35 |
domain names. in double flux cases, nothing is static. defenders such as domain registrars and service providers are likely in the best position for detection.. 002 domain generation algorithms detecting dynamically generated domains can be challenging due to the number of different dga algorithms, constantly evolving malware families, and the increasing complexity of the algorithms. there is a myriad of approaches for detecting a pseudo - randomly generated domain name, including using frequency analysis, markov chains, entropy, proportion of dictionary words, ratio of vowels to other characters, and more. [ 11 ] cdn domains may trigger these detections due to the format of their domain names. in addition to detecting a dga domain based on the name, another more general approach for detecting a suspicious domain is to check for recently registered names or for rarely visited domains. machine learning approaches to detecting dga domains have been developed and have seen success in applications. one approach is to use n - gram methods to determine a randomness score for strings used in the domain name. if the randomness score is high, and the domains are not whitelisted ( cdn, etc ), then it may be determined if a domain is related to a legitimate host or dga. [ 12 ] another approach is to use deep learning to classify domains as dga - generated [ 13 ] ] enterprise t1499 endpoint denial of service monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 os exhaustion flood monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 service exhaustion flood monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 003 application exhaustion flood monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 004 application or system exploitation monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1048 exfiltration over alternative protocol monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 exfiltration over symmetric encrypted non - c2 protocol monitor network data for uncommon data flows. processes utilizing the network that don't normally have network
|
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mitre
|
17992.txt
| 36 |
communication or have never been seen before are suspicious.. 002 exfiltration over asymmetric encrypted non - c2 protocol monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 003 exfiltration over unencrypted non - c2 protocol monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1041 exfiltration over c2 channel monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1011 exfiltration over other network medium monitor network data for uncommon data flows., such as the usage of abnormal / unexpected protocols.. 001 exfiltration over bluetooth monitor network data for uncommon data flows., such as the usage of abnormal / unexpected protocols. enterprise t1567 exfiltration over web service monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 exfiltration to code repository monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 exfiltration to cloud storage monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1133 external remote services monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware. ics t0822 external remote services monitor for network traffic originating from unknown / unexpected systems. enterprise t1008 fallback channels monitor network data for uncommon data flows, such as unexpected surges or other abnormal inbound / outbound patterns. enterprise t1187 forced authentication monitor for smb traffic on tcp ports 139, 445 and udp port 137 and webdav traffic attempting to exit the network to unknown external systems. if attempts are detected, then investigate endpoint data sources to find the root cause. enterprise t1200 hardware additions monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware. enterprise t1105 ingress tool transfer monitor
|
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mitre
|
17992.txt
| 37 |
network data for uncommon data flows ( e. g., a client sending significantly more data than it receives from a server ). processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1534 internal spearphishing monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0883 internet accessible device monitor for unexpected protocols to / from the internet. while network traffic content and logon session metadata may directly identify a login event, new internet - based network flows may also be a reliable indicator of this technique. enterprise t1570 lateral tool transfer monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware. ics t0867 lateral tool transfer monitor for network traffic originating from unknown / unexpected hosts. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware. enterprise t1104 multi - stage channels monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1599 network boundary bridging monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 network address translation traversal monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1498 network denial of service monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 direct network flood monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 reflection amplification monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1046 network service discovery monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1095 non - application layer protocol monitor network data for uncommon data flows. processes utilizing the network that don't normally have network
|
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mitre
|
17992.txt
| 38 |
communication or have never been seen before are suspicious. enterprise t1571 non - standard port monitor network data flows for unexpected patterns and metadata that may be indicative of a mismatch between protocol and utilized port. enterprise t1003 os credential dumping monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 006 dcsync monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1566 phishing monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 spearphishing attachment monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 spearphishing link monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 003 spearphishing via service monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1598 phishing for information monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 spearphishing service monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 spearphishing attachment monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 003 spearphishing link monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0845 program upload monitor device communication patterns to identify irregular bulk transfers of data between the embedded ics asset and other nodes within the network. note these indicators are dependent on the profile of normal operations and the capabilities of the industrial automation protocols involved ( e. g., partial program uploads ). enterprise t1572 protocol tunneling monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1090 proxy monitor network data for uncommon data flows. processes utilizing the
|
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mitre
|
17992.txt
| 39 |
network that don't normally have network communication or have never been seen before are suspicious.. 001 internal proxy monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 external proxy monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 003 multi - hop proxy monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1219 remote access software monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1563 remote service session hijacking monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 ssh hijacking monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 rdp hijacking monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1021 remote services monitor network data for uncommon data flows that may be related to abuse of valid accounts to log into a service specifically designed to accept remote connections, such as rdp, telnet, ssh, and vnc.. 001 remote desktop protocol monitor network traffic for uncommon data flows that may use valid accounts to log into a computer using the remote desktop protocol ( rdp ).. 002 smb / windows admin shares monitor network data for uncommon smb data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0886 remote services monitor network data for uncommon data flows ( e. g., time of day, unusual source / destination address ) that may be related to abuse of valid accounts to log into a service specifically designed to accept remote connections, such as rdp, telnet, ssh, and vnc. ics t0846 remote system discovery monitor for new ics protocol connections to existing assets or for device scanning ( i. e., a host connecting to many devices ) over ics and enterprise protocols ( e. g., icmp, dcom, winrm ). for added context on
|
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] |
mitre
|
17992.txt
| 40 |
adversary enterprise procedures and background see remote system discovery. ics t0888 remote system information discovery monitor for new ics protocol connections to existing assets or for device scanning ( i. e., a host connecting to many devices ) over ics and enterprise protocols ( e. g., icmp, dcom, winrm ). enterprise t1496 resource hijacking monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0848 rogue master monitor for network traffic originating from unknown / unexpected devices or addresses. local network traffic metadata could be used to identify unexpected connections, including unknown / unexpected source mac addresses connecting to ports associated with operational protocols. also, network management protocols such as dhcp and arp may be helpful in identifying unexpected devices. enterprise t1029 scheduled transfer monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata ( such as source mac addressing ) as well as usage of network management protocols such as dhcp may be helpful in identifying hardware. enterprise t1505 server software component monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 003 web shell monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0856 spoof reporting message various techniques enable spoofing a reporting message. consider monitoring for rogue master and adversary - in - the - middle activity which may precede this technique. ics t0869 standard application layer protocol monitor and analyze traffic flows that don't follow the expected protocol standards and traffic flows ( e. g., extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns ( e. g., monitor anomalies in use of files that don't normally initiate connections for respective protocol ( s ) ). enterprise t1033 system owner / user discovery monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. enterprise t1205 traffic signaling monitor and analyze network flows associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extra
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1012,
1043,
4469
] |
mitre
|
17992.txt
| 41 |
##neous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider analyzing newly constructed network connections that are sent or received by untrusted hosts, unexpcted hardware devices, or other uncommon data flows.. 001 port knocking monitor and analyze network flows associated to protocol ( s ) that don't follow the expected protocol standards and traffic flows ( e. g extraneous packets that don't belong to established flows, or gratuitous or anomalous traffic patterns ). consider analyzing newly constructed network connections that are sent or received by untrusted hosts, unexpcted hardware devices, or other uncommon data flows. ics t0864 transient cyber asset monitor for network traffic originating from unknown / unexpected hardware devices. local network traffic metadata ( such as source mac addressing ) may be helpful in identifying transient assets. ics t0855 unauthorized command message monitor for new or unexpected connections to controllers, which could indicate an unauthorized command message being sent via rogue master. enterprise t1102 web service monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 001 dead drop resolver monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 002 bidirectional communication monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious.. 003 one - way communication monitor network data for uncommon data flows. processes utilizing the network that don't normally have network communication or have never been seen before are suspicious. ics t0860 wireless compromise new or irregular network traffic flows may indicate potentially unwanted devices or sessions on wireless networks. in wi - fi networks monitor for changes such as rogue access points or low signal strength, indicating a device is further away from the access point then expected and changes in the physical layer signal. [ 14 ] [ 15 ] network traffic content will provide important context, such as hardware ( e. g., mac ) addresses, user accounts, and types of messages sent. ics t0887 wireless sniffing purely passive network sniffing cannot be detected effectively. in cases where the adversary interacts with the wireless network ( e. g., joining a wi - fi network ) detection may be possible. monitor for new or irregular network traffic flows which may indicate potentially unwanted devices or sessions
|
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] |
mitre
|
17992.txt
| 42 |
on wireless networks. in wi - fi networks monitor for changes such as rogue access points or low signal strength, indicating a device is further away from the access point then expected and changes in the physical layer signal. [ 14 ] [ 15 ] network traffic content will provide important context, such as hardware ( e. g., mac ) addresses, user accounts, and types of messages sent. references cisco. ( n. d. ). cisco ios software integrity assurance - secure boot. retrieved october 19, 2020. cisco. ( n. d. ). cisco ios software integrity assurance - cisco ios image file verification. retrieved october 19, 2020. jamie harries. ( 2022, may 25 ). hunting a global telecommunications threat : decisivearchitect and its custom implant justforfun. retrieved october 18, 2022. gardiner, j., cova, m., nagaraja, s. ( 2014, february ). command & control understanding, denying and detecting. retrieved april 20, 2016. microsoft. ( 2020, october 13 ). anti - spoofing protection in eop. retrieved october 19, 2020. australian cyber security centre. ( 2012, december ). mitigating spoofed emails using sender policy framework. retrieved october 19, 2020. spencer s. ( 2018, february 22 ). dcsyncmonitor. retrieved march 30, 2018. delpy, b. & le toux, v. ( n. d. ). dcshadow. retrieved march 20, 2018. us - cert. ( 2015, november 13 ). compromised web servers and web shells - threat awareness and guidance. retrieved june 8, 2016. perry, david. ( 2020, august 11 ). wakeonlan ( wol ). retrieved february 17, 2021. jacobs, j. ( 2014, october 2 ). building a dga classifier : part 2, feature engineering. retrieved february 18, 2019. chen, l., wang, t.. ( 2017, may 5 ). detecting algorithmically generated domains using data visualization and n - grams methods. retrieved april 26, 2019. ahuja, a., anderson, h., grant, d., woodbridge, j.. ( 2016, november 2 ). predicting domain generation algorithms with long short - term memory networks. retrieved april 26, 2019. koopmann, lennart. ( n. d. ). nzyme alerts introduction. retrieved september 26, 2022.
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2475,
1012
] |
mitre
|
17992.txt
| 43 |
tomko, a. ; rieser, c ; buell, h. ; zeret, d. ; turner, w.. ( 2007, march ). wireless intrusion detection. retrieved september 26, 2022. [SEP]
|
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mitre
|
17992.txt
| 44 |
[CLS] operational databases operational databases contain information about the status of the operational process and associated devices, including any measurements, events, history, or alarms that have occurred id : ds0040 [UNK] collection layer : host version : 1. 0 created : 11 may 2022 last modified : 11 may 2022 version permalink live version data components operational databases : device alarm this includes alarms associated with unexpected device functions, such as shutdowns, restarts, failures, or configuration changes operational databases : device alarm this includes alarms associated with unexpected device functions, such as shutdowns, restarts, failures, or configuration changes domain id name detects ics t0800 activate firmware update mode monitor device alarms that indicate the devices has been placed into firmware update mode, although not all devices produce such alarms. ics t0878 alarm suppression monitor for loss of expected device alarms which could indicate alarms are being suppressed. as noted in the technique description, there may be multiple sources of alarms in an ics environment. discrepancies between alarms may indicate the adversary is suppressing some but not all the alarms in the environment. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0858 change operating mode monitor alarms for information about when an operating mode is changed, although not all devices produce such logs. ics t0816 device restart / shutdown devices may produce alarms about restarts or shutdowns. monitor for unexpected device restarts or shutdowns. ics t0821 modify controller tasking monitor device alarms that indicate controller task parameters have changed, although not all devices produce such alarms. program download may be used to enable this technique. monitor for program downloads which may be noticeable via operational alarms. asset management systems should be consulted to understand expected program versions. ics t0836 modify parameter monitor for device alarms produced when parameters are changed, although not all devices will produce such alarms. ics t0889 modify program monitor device alarms that indicate the program has changed, although not all devices produce such alarms. ics t0839 module firmware monitor for firmware changes which may be observable via operational alarms from devices. ics t0843 program download monitor device alarms for program downloads, although not all devices produce such alarms. ics t0848 rogue master monitor for new master devices communicating with outstations, which may be visible
|
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mitre
|
17993.txt
| 0 |
in alarms within the ics environment. ics t0856 spoof reporting message monitor asset logs for alarms or other information the adversary is unable to directly suppress. relevant alarms include those from a loss of communications due to adversary - in - the - middle activity. ics t0857 system firmware monitor for firmware changes which may be observable via operational alarms from devices. operational databases : process history / live data this includes any data stores that maintain historical or real - time events and telemetry recorded from various sensors or devices operational databases : process history / live data this includes any data stores that maintain historical or real - time events and telemetry recorded from various sensors or devices domain id name detects ics t0878 alarm suppression monitor for loss of operational process data which could indicate alarms are being suppressed. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0803 block command message monitor for lack of operational process data which may help identify a loss of communications. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0804 block reporting message monitor for lack of operational process data which may help identify a loss of communications. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0805 block serial com monitor for lack of operational process data which may help identify a loss of communications. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0806 brute force i / o monitor operational process data for write commands for an excessive number of i / o points or manipulating a single value an excessive number of times. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0814 denial of service monitor operational data for indicators of temporary data loss which may indicate a denial of service. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0838 modify alarm settings data about the industrial process may indicate it is operating outside of expected
|
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mitre
|
17993.txt
| 1 |
bounds and could help indicate that that an alarm setting has changed. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0855 unauthorized command message monitor industrial process history data for events that correspond with command message functions, such as setpoint modification or changes to system status for key devices. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. operational databases : process / event alarm this includes a list of any process alarms or alerts produced to indicate unusual or concerning activity within the operational process ( e. g., increased temperature / pressure ) operational databases : process / event alarm this includes a list of any process alarms or alerts produced to indicate unusual or concerning activity within the operational process ( e. g., increased temperature / pressure ) domain id name detects ics t0878 alarm suppression monitor for loss of expected operational process alarms which could indicate alarms are being suppressed. as noted in the technique description, there may be multiple sources of alarms in an ics environment. discrepancies between alarms may indicate the adversary is suppressing some but not all the alarms in the environment. this will not directly detect the technique ’ s execution, but instead may provide additional evidence that the technique has been used and may complement other detections. ics t0803 block command message monitor asset alarms which may help identify a loss of communications. consider correlating alarms with other data sources that indicate traffic has been blocked, such as network traffic. in cases where alternative methods of communicating with outstations exist alarms may still be visible even if command messages are blocked. ics t0804 block reporting message monitor asset alarms which may help identify a loss of communications. consider correlating alarms with other data sources that indicate traffic has been blocked, such as network traffic. in cases where alternative methods of communicating with outstations exist alarms may still be visible even if reporting messages are blocked. ics t0805 block serial com monitor asset alarms which may help identify a loss of communications. consider correlating alarms with other data sources that indicate traffic has been blocked, such as network traffic. in cases where alternative methods of communicating with outstations exist alarms may still be visible even if messages over serial com ports are blocked. ics t0855 unauthorized command message monitor for anomalous or unexpected commands that
|
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mitre
|
17993.txt
| 2 |
may result in changes to the process operation ( e. g., discrete write, logic and device configuration, mode changes ) observable via asset application logs. [SEP]
|
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[
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8043,
12423,
3081,
11412,
4646,
15664,
1012,
102
] |
mitre
|
17993.txt
| 3 |
[CLS] persona a malicious online profile representing a user commonly used by adversaries to social engineer or otherwise target victims id : ds0021 [UNK] platform : pre [UNK] collection layer : osint version : 1. 0 created : 20 october 2021 last modified : 20 october 2021 version permalink live version data components persona : social media established, compromised, or otherwise acquired social media personas persona : social media established, compromised, or otherwise acquired social media personas domain id name detects enterprise t1586 compromise accounts consider monitoring social media activity related to your organization. suspicious activity may include personas claiming to work for your organization or recently modified accounts making numerous connection requests to accounts affiliated with your organization. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on related stages of the adversary lifecycle, such as during initial access ( ex : phishing ).. 001 social media accounts consider monitoring social media activity related to your organization. suspicious activity may include personas claiming to work for your organization or recently modified accounts making numerous connection requests to accounts affiliated with your organization. detection efforts may be focused on related stages of the adversary lifecycle, such as during initial access ( ex : spearphishing via service ). enterprise t1585 establish accounts consider monitoring social media activity related to your organization. suspicious activity may include personas claiming to work for your organization or recently created / modified accounts making numerous connection requests to accounts affiliated with your organization. much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. detection efforts may be focused on related stages of the adversary lifecycle, such as during initial access ( ex : phishing ).. 001 social media accounts consider monitoring social media activity related to your organization. suspicious activity may include personas claiming to work for your organization or recently created / modified accounts making numerous connection requests to accounts affiliated with your organization. detection efforts may be focused on related stages of the adversary lifecycle, such as during initial access ( ex : spearphishing via service ). [SEP]
|
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mitre
|
17994.txt
| 0 |
[CLS] pod a single unit of shared resources within a cluster, comprised of one or more containers [ 1 ] [ 2 ] id : ds0014 [UNK] platform : containers [UNK] collection layer : container contributors : center for threat - informed defense ( ctid ) version : 1. 0 created : 20 october 2021 last modified : 10 november 2021 version permalink live version data components pod : pod creation initial construction of a new pod ( ex : kubectl apply | run ) pod : pod creation initial construction of a new pod ( ex : kubectl apply | run ) domain id name detects enterprise t1610 deploy container monitor for newly constructed pods that may deploy a container into an environment to facilitate execution or evade defenses. pod : pod enumeration an extracted list of pods within a cluster ( ex : kubectl get pods ) pod : pod enumeration an extracted list of pods within a cluster ( ex : kubectl get pods ) domain id name detects enterprise t1613 container and resource discovery monitor logs for actions that could be taken to gather information about pods, including the use of discovery api calls by new or unexpected users. monitor account activity logs to see actions performed and activity associated with the kubernetes dashboard and other web applications. pod : pod modification changes made to a pod, including its settings and / or control data ( ex : kubectl set | patch | edit ) pod : pod modification changes made to a pod, including its settings and / or control data ( ex : kubectl set | patch | edit ) domain id name detects enterprise t1610 deploy container monitor for changes made to pods for unexpected modifications to settings and / or control data that may deploy a container into an environment to facilitate execution or evade defenses. references kubernetes. ( n. d. ). kubectl. retrieved october 13, 2021. kubenetes. ( n. d. ). pod v1 core. retrieved october 13, 2021. [SEP]
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mitre
|
17995.txt
| 0 |
[CLS] process instances of computer programs that are being executed by at least one thread. processes have memory space for process executables, loaded modules ( dlls or shared libraries ), and allocated memory regions containing everything from user input to application - specific data structures [ 1 ] id : ds0009 [UNK] platforms : linux, windows, macos [UNK] collection layer : host contributors : center for threat - informed defense ( ctid ) version : 1. 1 created : 20 october 2021 last modified : 21 october 2022 version permalink live version data components process : os api execution initial construction of a wmi object, such as a filter, consumer, subscription, binding, or provider ( ex : sysmon eids 19 - 21 ) process : os api execution initial construction of a wmi object, such as a filter, consumer, subscription, binding, or provider ( ex : sysmon eids 19 - 21 ) domain id name detects enterprise t1548 abuse elevation control mechanism also look for any process api calls for behavior that may be indicative of process injection. monitoring os api callbacks for the execution can also be a way to detect this behavior but requires specialized security tooling.. 004 elevated execution with prompt monitoring os api callbacks for the execution can also be a way to detect this behavior but requires specialized security tooling. enterprise t1134 access token manipulation monitor for api calls, loaded by a payload, for token manipulation only through careful analysis of user network activity, examination of running processes, and correlation with other endpoint and network behavior. there are many windows api calls a payload can take advantage of to manipulate access tokens ( e. g., logonuser [ 2 ], duplicatetokenex [ 3 ], and impersonateloggedonuser [ 4 ] ). please see the referenced windows api pages for more information.. 001 token impersonation / theft monitor for api calls associated with other suspicious behavior to reduce false positives that may be due to normal benign use by users and administrators, such as duplicatetoken ( ex ), impersonateloggedonuser, and setthreadtoken.. 002 create process with token monitor for api calls associated with detecting token manipulation only through careful analysis of user activity, examination of running processes, and correlation with other endpoint and network behavior. analysts can also monitor for use of windows apis such as createprocesswithtokenw and correlate activity with other suspicious behavior to reduce false positives
|
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mitre
|
17996.txt
| 0 |
that may be due to normal benign use by users and administrators.. 003 make and impersonate token monitor for api calls associated with detecting token manipulation only through careful analysis of user activity, examination of running processes, and correlation with other endpoint and network behavior, such as logonuser and setthreadtoken. correlate activity with other suspicious behavior to reduce false positives that may be due to normal benign use by users and administrators. 004 parent pid spoofing monitor for api calls to createprocess / createprocessa, specifically those from user / potentially malicious processes and with parameters explicitly assigning ppids ( ex : the process creation flags of 0x8xxx, indicating that the process is being created with extended startup information [ 5 ] ). malicious use of createprocess / createprocessa may also be proceeded by a call to updateprocthreadattribute, which may be necessary to update process creation attributes. [ 6 ] this may generate false positives from normal uac elevation behavior, so compare to a system baseline / understanding of normal system activity if possible.. 005 sid - history injection monitor for api calls, such as powershell's get - aduser cmdlet or windows api dsaddsidhistory function, to examine data in user ’ s sid - history attributes, especially users who have sid - history values from the same domain. enterprise t1087. 001 account discovery : local account monitor for api calls ( such as netuserenum ( ) ) that may attempt to gather local accounts information such as type of user, privileges and groups.. 002 account discovery : domain account monitor for api calls that may attempt to gather information about domain accounts such as type of user, privileges and groups. enterprise t1010 application window discovery monitor for api calls ( such as getforegroundwindow ( ) ) that may attempt to get a listing of open application windows. enterprise t1123 audio capture monitor for api calls associated with leveraging a computer's peripheral devices ( e. g., microphones and webcams ) or applications ( e. g., voice and video call services ) to capture audio recordings for the purpose of listening into sensitive conversations to gather information. enterprise t1547 boot or logon autostart execution monitor for api calls that may configure system settings to automatically execute a program during system boot or logon to maintain persistence or gain higher - level privileges
|
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mitre
|
17996.txt
| 1 |
on compromised systems.. 010 port monitors monitor process api calls to addmonitor. [ 7 ]. 012 print processors monitor process api calls to addprintprocessor and getprintprocessordirectory. enterprise t1115 clipboard data monitor api calls that could collect data stored in the clipboard from users copying information within or between applications. enterprise t1059. 002 command and scripting interpreter : applescript monitor for execution of applescript through osascript and usage of the nsapplescript and osascript apis that may be related to other suspicious behavior occurring on the system. enterprise t1543 create or modify system process monitor for api calls that may create or modify system - level processes to repeatedly execute malicious payloads as part of persistence.. 003 windows service monitor for api calls that may create or modify windows services ( ex : createservicew ( ) ) to repeatedly execute malicious payloads as part of persistence. enterprise t1555 credentials from password stores monitor for api calls that may search for common password storage locations to obtain user credentials.. 001 keychain monitor for keychain services api calls, specifically legacy extensions such as seckeychainfindinternetpassword, that may collect keychain data from a system to acquire credentials. [ 8 ]. 003 credentials from web browsers monitor for api calls that may acquire credentials from web browsers by reading files specific to the target browser. [ 9 ]. 004 windows credential manager consider monitoring api calls such as credenumeratea that may list credentials from the windows credential manager. [ 10 ] [ 11 ]. 005 password managers monitor for api calls that may search for common password storage locations to obtain user credentials. ics t0811 data from information repositories in the case of detecting collection from local systems monitor for api calls that may search local system sources, such as file systems or local databases, to find files of interest and sensitive data prior to exfiltration. for added context on adversary procedures and background see data from local system. enterprise t1005 data from local system monitor for api calls that may search local system sources, such as file systems or local databases, to find files of interest and sensitive data prior to exfiltration. enterprise t1565 data manipulation monitor for api calls associated with altering data. remote access tools with built - in features may interact directly with the windows api to gather information.. 002 transmitted data manipulation monitor for api calls
|
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mitre
|
17996.txt
| 2 |
associated with altering data. remote access tools with built - in features may interact directly with the windows api to gather information.. 003 runtime data manipulation monitor for api calls associated with altering data. remote access tools with built - in features may interact directly with the windows api to gather information. enterprise t1622 debugger evasion monitor for api calls ( such as isdebuggerpresent ( ) ) that may employ various means to detect and avoid debugged environments. detecting actions related to debugger identification may be difficult depending on the adversary's implementation and monitoring required. enterprise t1482 domain trust discovery monitor for api calls associated with gathering information on domain trust relationships that may be used to identify lateral movement like dsenumeratedomaintrusts ( ) win32 api call to spot activity associated with domain trust discovery. [ 12 ] information may also be acquired through windows system management tools such as powershell. the. net method getalltrustrelationships ( ) can be an indicator of domain trust discovery. [ 13 ] enterprise t1611 escape to host monitor for unexpected usage of syscalls such as mount that may indicate an attempt to escape from a privileged container to host. enterprise t1546. 009 event triggered execution : appcert dlls monitor and analyze application programming interface ( api ) calls that are indicative of registry edits, such as regcreatekeyex and regsetvalueex. [ 14 ]. 010 event triggered execution : appinit dlls monitor and analyze application programming interface ( api ) calls that are indicative of registry edits such as regcreatekeyex and regsetvalueex. [ 14 ] ics t0871 execution through api devices that provide user access to the underlying operating system may allow the installation of custom software to monitor os api execution. monitoring api calls may generate a significant amount of data and may not be useful for defense unless collected under specific circumstances, since benign use of api functions are common and may be difficult to distinguish from malicious behavior. correlation of other events with behavior surrounding api function calls using api monitoring will provide additional context to an event that may assist in determining if it is due to malicious behavior. enterprise t1083 file and directory discovery monitor for api calls that may enumerate files and directories or may search in specific locations of a host or network share for certain information within a file system. enterprise t1564 hide artifacts monitor for api calls that may attempt to hide artifacts associated with their behaviors
|
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] |
mitre
|
17996.txt
| 3 |
to evade detection.. 004 ntfs file attributes monitor calls to the zwseteafile and zwqueryeafile windows api functions as well as binaries used to interact with ea, [ 15 ] [ 16 ] and consider regularly scanning for the presence of modified information. [ 17 ] enterprise t1574. 013 hijack execution flow : kernelcallbacktable monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances. for known bad sequence of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as writeprocessmemory ( ) and ntqueryinformationprocess ( ) with the parameter set to processbasicinformation may be used for this technique. [ 18 ] ics t0874 hooking monitor for api calls that can be used to install a hook procedure, such as the setwindowshookex and setwineventhook functions. [ 19 ] [ 20 ] also consider analyzing hook chains ( which hold pointers to hook procedures for each type of hook ) using tools [ 20 ] [ 21 ] [ 22 ] or by programmatically examining internal kernel structures. [ 23 ] [ 24 ] enterprise t1070 indicator removal monitor for api calls that may delete or alter generated artifacts on a host system, including logs or captured files such as quarantined malware.. 001 clear windows event logs monitor for windows api calls that may clear windows event logs to hide the activity of an intrusion. ics t0872 indicator removal on host monitor for api calls that may delete or alter generated artifacts on a host system, including logs or captured files such as quarantined malware. enterprise t1056 input capture monitor for api calls to setwindowshook, getkeystate, and getasynckeystate [ 25 ]. 001 keylogging monitor for api calls to the setwindowshook, getkeystate, and getasynckeystate. [ 25 ] and look for common keylogging api calls. api calls alone are not an indicator of keylogging, but may provide behavioral data that is useful when combined with other information such as new files written to disk and unusual processes.. 004 credential api hooking monitor for api calls to the setwindowshookex and
|
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] |
mitre
|
17996.txt
| 4 |
setwineventhook functions, which install a hook procedure. [ 19 ] [ 20 ] also consider analyzing hook chains ( which hold pointers to hook procedures for each type of hook ) using tools [ 20 ] [ 21 ] [ 22 ] or by programmatically examining internal kernel structures. [ 23 ] [ 24 ] enterprise t1556 modify authentication process monitor for calls to openprocess that can be used to manipulate lsass. exe running on a domain controller as well as for malicious modifications to functions exported from authentication - related system dlls ( such as cryptdll. dll and samsrv. dll ). [ 26 ]. 001 domain controller authentication monitor for api calls to openprocess that can be used to manipulate lsass. exe running on a domain controller enterprise t1112 modify registry monitor for api calls associated with concealing registry keys, such as reghide. [ 27 ] inspect and cleanup malicious hidden registry entries using native windows api calls and / or tools such as autoruns [ 28 ] and regdelnull [ 29 ]. enterprise t1111 multi - factor authentication interception monitor for api calls associated with polling to intercept keystrokes. enterprise t1106 native api monitoring api calls may generate a significant amount of data and may not be useful for defense unless collected under specific circumstances, since benign use of api functions are common and may be difficult to distinguish from malicious behavior. correlation of other events with behavior surrounding api function calls using api monitoring will provide additional context to an event that may assist in determining if it is due to malicious behavior. correlation of activity by process lineage by process id may be sufficient. ics t0834 native api devices that provide user access to the underlying operating system may allow the installation of custom software to monitor os api execution. monitoring api calls may generate a significant amount of data and may not be useful for defense unless collected under specific circumstances, since benign use of api functions are common and may be difficult to distinguish from malicious behavior. correlation of other events with behavior surrounding api function calls using api monitoring will provide additional context to an event that may assist in determining if it is due to malicious behavior. ics t0840 network connection enumeration monitor for api calls ( such as getadaptersinfo ( ) and getipnettable ( ) ) that may gather details about the network configuration and settings, such as ip and / or mac addresses. also monitor for api calls that may attempt to get a listing of network
|
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mitre
|
17996.txt
| 5 |
connections to or from the compromised system they are currently accessing or from remote systems by querying for information over the network. for added context on adversary procedures and background see system network configuration discovery and system network connections discovery. enterprise t1135 network share discovery monitor for api calls that may look for folders and drives shared on remote systems as a means of identifying sources of information to gather as a precursor for collection and to identify potential systems of interest for lateral movement. enterprise t1027 obfuscated files or information monitor and analyze calls to functions such as getprocaddress ( ) that are associated with malicious code obfuscation. [ 30 ]. 007 dynamic api resolution monitor and analyze calls to functions such as getprocaddress ( ) and loadlibrary ( ) that are associated with dynamically loading api functions. [ 30 ] enterprise t1003 os credential dumping monitor for api calls that may attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password, from the operating system and software.. 001 lsass memory monitor for api calls that may attempt to access credential material stored in the process memory of the local security authority subsystem service ( lsass ). enterprise t1120 peripheral device discovery monitor for api calls that may attempt to gather information about attached peripheral devices and components connected to a computer system. enterprise t1069. 001 permission groups discovery : local groups monitor for api calls associated with finding local system groups and permission settings, such as netlocalgroupenum.. 002 permission groups discovery : domain groups monitor for api calls associated with finding domain - level groups and permission settings, such as netgroupenum enterprise t1542 pre - os boot monitor for api calls that may abuse pre - os boot mechanisms as a way to establish persistence on a system. disk check, forensic utilities, and data from device drivers ( i. e. api calls ) may reveal anomalies that warrant deeper investigation. [ 31 ]. 002 component firmware monitor for api calls associated with the use of device drivers and / or provided by smart ( self - monitoring, analysis and reporting technology ) [ 32 ] [ 33 ] disk monitoring may reveal malicious manipulations of components. otherwise, this technique may be difficult to detect since malicious activity is taking place on system components possibly outside the purview of os security and integrity mechanisms. enterprise t1057 process discovery monitor for api calls may attempt to
|
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] |
mitre
|
17996.txt
| 6 |
get information about running processes on a system. enterprise t1055 process injection monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as createremotethread, suspendthread / setthreadcontext / resumethread, queueuserapc / ntqueueapcthread, and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be used for this technique. [ 14 ] monitoring for linux specific calls such as the ptrace system call should not generate large amounts of data due to their specialized nature, and can be a very effective method to detect some of the common process injection methods. [ 34 ] [ 35 ] [ 36 ] [ 37 ]. 001 dynamic - link library injection monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as createremotethread and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be used for this technique. [ 14 ]. 002 portable executable injection monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as createremotethread and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be used for this technique. [ 14 ]. 003 thread execution hijacking monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as createremotethread, suspendthread / setthreadc
|
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mitre
|
17996.txt
| 7 |
##ontext / resumethread, and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be used for this technique. [ 14 ]. 004 asynchronous procedure call monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as suspendthread / setthreadcontext / resumethread, queueuserapc / ntqueueapcthread, and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be used for this technique. [ 14 ]. 005 thread local storage monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as createremotethread, suspendthread / setthreadcontext / resumethread, and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be used for this technique. [ 14 ]. 008 ptrace system calls monitoring for linux specific calls such as the ptrace system call should not generate large amounts of data due to their specialized nature, and can be a very effective method to detect some of the common process injection methods. [ 34 ] [ 35 ] [ 36 ] [ 37 ]. 011 extra window memory injection monitor for api calls related to enumerating and manipulating ewm such as getwindowlong [ 38 ] and setwindowlong [ 39 ]. malware associated with this technique have also used sendnotifymessage [ 40 ] to trigger the associated window procedure and eventual malicious injection. [ 14 ]. 012 process hollowing monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as createrem
|
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] |
mitre
|
17996.txt
| 8 |
##otethread, suspendthread / setthreadcontext / resumethread, and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be used for this technique. [ 14 ]. 013 process doppelganging monitor and analyze calls to createtransaction, createfiletransacted, rollbacktransaction, and other rarely used functions indicative of txf activity. process doppelganging also invokes an outdated and undocumented implementation of the windows process loader via calls to ntcreateprocessex and ntcreatethreadex as well as api calls used to modify memory within another process, such as writeprocessmemory. [ 41 ] [ 42 ]. 014 vdso hijacking monitor for malicious usage of system calls, such as ptrace and mmap, that can be used to attach to, manipulate memory, then redirect a processes'execution path. monitoring for linux specific calls such as the ptrace system call should not generate large amounts of data due to their specialized nature, and can be a very effective method to detect some of the common process injection methods. [ 34 ] [ 35 ] [ 36 ] [ 37 ]. 015 listplanting consider monitoring for excessive use of sendmessage and / or postmessage api functions with lvm _ setitemposition and / or lvm _ getitemposition arguments. monitoring windows api calls indicative of the various types of code injection may generate a significant amount of data and may not be directly useful for defense unless collected under specific circumstances for known bad sequences of calls, since benign use of api functions may be common and difficult to distinguish from malicious behavior. windows api calls such as findwindow, findwindowex, enumwindows, enumchildwindows, and those that can be used to modify memory within another process, such as virtualallocex / writeprocessmemory, may be abused for this technique. enterprise t1012 query registry monitor for api calls ( such as regopenkeyexa ) that may interact with the windows registry to gather information about the system, configuration, and installed software. enterprise t1620 reflective code loading monitor for code artifacts associated with reflectively loading code, such as the abuse of. net functions such as assembly. load ( ) and native api functions such as
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] |
mitre
|
17996.txt
| 9 |
createthread ( ), memfd _ create ( ), execve ( ), and / or execveat ( ). [ 43 ] [ 44 ] enterprise t1113 screen capture monitoring for screen capture behavior will depend on the method used to obtain data from the operating system and write output files. detection methods could include collecting information from unusual processes using api calls used to obtain image data, and monitoring for image files written to disk, such as copyfromscreen, xwd, or screencapture. [ 45 ] [ 46 ]. the sensor data may need to be correlated with other events to identify malicious activity, depending on the legitimacy of this behavior within a given network environment. ics t0852 screen capture monitoring for screen capture behavior will depend on the method used to obtain data from the operating system and write output files. detection methods could include collecting information from unusual processes using api calls used to obtain image data, and monitoring for image files written to disk, such as copyfromscreen, xwd, or screencapture. [ 45 ] [ 46 ] the data may need to be correlated with other events to identify malicious activity, depending on the legitimacy of this behavior within a given network environment. enterprise t1489 service stop remote access tools with built - in features may interact directly with the windows api to perform these functions outside of typical system utilities. for example, changeserviceconfigw may be used by an adversary to prevent services from starting. [ 9 ] ics t0881 service stop remote access tools with built - in features may interact directly with the windows api to perform these functions outside of typical system utilities. for example, changeserviceconfigw may be used by an adversary to prevent services from starting. for added context on adversary procedures and background see service stop. enterprise t1129 shared modules monitor for api calls that may execute malicious payloads via loading shared modules. enterprise t1518 software discovery monitor for api calls that may attempt to get a listing of software and software versions that are installed on a system or in a cloud environment.. 001 security software discovery monitor for api calls that may attempt to get a listing of security software, configurations, defensive tools, and sensors that are installed on a system or in a cloud environment. enterprise t1218 system binary proxy execution monitor for api calls that bypass process and / or signature based defenses by proxying execution of malicious content with signed, or otherwise trusted, binaries..
|
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mitre
|
17996.txt
| 10 |
002 control panel monitor for api calls that may forge web cookies that can be used to gain access to web applications or internet services. enterprise t1082 system information discovery monitor for api calls that may attempt to get detailed information about the operating system and hardware, including version, patches, hotfixes, service packs, and architecture. remote access tools with built - in features may interact directly with the windows api to gather information. information may also be acquired through windows system management tools such as windows management instrumentation and powershell. in cloud - based systems, native logging can be used to identify access to certain apis and dashboards that may contain system information. depending on how the environment is used, that data alone may not be useful due to benign use during normal operations. enterprise t1614 system location discovery remote access tools with built - in features may interact directly with the windows api, such as calling getlocaleinfow to gather information. [ 47 ]. 001 system language discovery monitor for api calls that may attempt to gather information about the system language of a victim in order to infer the geographical location of that host. enterprise t1016 system network configuration discovery monitor for api calls ( such as getadaptersinfo ( ) and getipnettable ( ) ) that may gather details about the network configuration and settings, such as ip and / or mac addresses. enterprise t1049 system network connections discovery monitor for api calls that may attempt to get a listing of network connections to or from the compromised system they are currently accessing or from remote systems by querying for information over the network. enterprise t1033 system owner / user discovery monitor for api calls that may attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password, from the operating system and software. enterprise t1007 system service discovery monitor for api calls associated with gathering information about registered local system services, such as queryservicestatusex. enterprise t1124 system time discovery monitor for api calls that may gather the system time and / or time zone from a local or remote system. remote access tools with built - in features may interact directly with the windows api to gather information. enterprise t1125 video capture detection of this technique may be difficult due to the various apis that may be used. telemetry data regarding api use may not be useful depending on how a system is normally used, but may provide context to other potentially malicious activity occurring on a system.
|
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] |
mitre
|
17996.txt
| 11 |
behavior that could indicate technique use include an unknown or unusual process accessing apis associated with devices or software that interact with the video camera, recording devices, or recording software, and a process periodically writing files to disk that contain video or camera image data. enterprise t1497 virtualization / sandbox evasion monitor for api calls that may employ various means to detect and avoid virtualization and analysis environments. detecting actions related to virtualization and sandbox identification may be difficult depending on the adversary's implementation and monitoring required.. 001 system checks monitor for api calls that may employ various means to detect and avoid virtualization and analysis environments. detecting actions related to virtualization and sandbox identification may be difficult depending on the adversary's implementation and monitoring required.. 002 user activity based checks monitor for api calls that may employ various means to detect and avoid virtualization and analysis environments. detecting actions related to virtualization and sandbox identification may be difficult depending on the adversary's implementation and monitoring required.. 003 time based evasion monitor for api calls that may employ various time - based methods to detect and avoid virtualization and analysis environments. detecting actions related to virtualization and sandbox identification may be difficult depending on the adversary's implementation and monitoring required. process : process access opening of a process by another process, typically to read memory of the target process ( ex : sysmon eid 10 ) process : process access opening of a process by another process, typically to read memory of the target process ( ex : sysmon eid 10 ) domain id name detects enterprise t1185 browser session hijacking this may be a difficult technique to detect because adversary traffic may be masked by normal user traffic. monitor for process injection against browser applications. enterprise t1555 credentials from password stores monitor for processes being accessed that may search for common password storage locations to obtain user credentials.. 002 securityd memory monitor for processes being accessed that may obtain root access ( allowing them to read securityd ’ s memory ), then they can scan through memory to find the correct sequence of keys in relatively few tries to decrypt the user ’ s logon keychain.. 003 credentials from web browsers monitor process execution logs to include powershell transcription focusing on those that perform a combination of behaviors including reading web browser process memory, utilizing regular expressions, and those that contain numerous keywords for common web applications ( gmail, twitter, office365, etc. ).. 005 password managers monitor process being
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8080,
2832,
2108
] |
mitre
|
17996.txt
| 12 |
accessed that may acquire user credentials from third - party password managers. [ 48 ] enterprise t1559 inter - process communication monitor for processes making abnormal calls to higher privileged processes, such as a user application connecting to a vpn service. [ 49 ]. 003 xpc services monitor for processes making abnormal calls to higher privileged processes, such as a user application connecting to a vpn service. [ 49 ] enterprise t1556 modify authentication process monitor for unexpected processes interacting with authentication mechanisms and processes to access user credentials or enable otherwise unwarranted access to accounts.. 001 domain controller authentication monitor for unexpected processes interacting with the authentication process on a domain controller to bypass the typical authentication mechanisms and enable access to accounts. enterprise t1003 os credential dumping monitor for unexpected processes interacting with lsass. exe. [ 50 ] common credential dumpers such as mimikatz access the lsa subsystem service ( lsass ) process by opening the process, locating the lsa secrets key, and decrypting the sections in memory where credential details are stored. credential dumpers may also use methods for reflective process injection to reduce potential indicators of malicious activity. linuxto obtain the passwords and hashes stored in memory, processes must open a maps file in the / proc filesystem for the process being analyzed. this file is stored under the path / proc / < pid > / maps, where the < pid > directory is the unique pid of the program being interrogated for such authentication data. the auditd monitoring tool, which ships stock in many linux distributions, can be used to watch for hostile processes opening this file in the proc file system, alerting on the pid, process name, and arguments of such programs.. 001 lsass memory monitor for unexpected processes interacting with lsass. exe. [ 50 ] common credential dumpers such as mimikatz access lsass. exe by opening the process, locating the lsa secrets key, and decrypting the sections in memory where credential details are stored. credential dumpers may also use methods for reflective process injection to reduce potential indicators of malicious activity. enterprise t1055 process injection monitor for processes being viewed that may inject code into processes in order to evade process - based defenses as well as possibly elevate privileges.. 001 dynamic - link library injection monitor for process being viewed that may inject dynamic - link libraries
|
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mitre
|
17996.txt
| 13 |
( dlls ) into processes in order to evade process - based defenses as well as possibly elevate privileges.. 002 portable executable injection monitor for processes being viewed that may inject portable executables ( pe ) into processes in order to evade process - based defenses as well as possibly elevate privileges.. 003 thread execution hijacking monitor for processes being viewed that may inject malicious code into hijacked processes in order to evade process - based defenses as well as possibly elevate privileges.. 004 asynchronous procedure call monitor for processes being viewed that may inject malicious code into processes via the asynchronous procedure call ( apc ) queue in order to evade process - based defenses as well as possibly elevate privileges.. 005 thread local storage monitor for processes being viewed that may inject malicious code into processes via thread local storage ( tls ) callbacks in order to evade process - based defenses as well as possibly elevate privileges.. 008 ptrace system calls monitor for processes being viewed that may inject malicious code into processes via ptrace ( process trace ) system calls in order to evade process - based defenses as well as possibly elevate privileges.. 012 process hollowing monitor for processes being viewed that may inject malicious code into suspended and hollowed processes in order to evade process - based defenses. enterprise t1539 steal web session cookie monitor for attempts by programs to inject into or dump browser process memory. enterprise t1033 system owner / user discovery monitor for unexpected processes interacting with lsass. exe. [ 50 ] common credential dumpers such as mimikatz access the lsa subsystem service ( lsass ) process by opening the process, locating the lsa secrets key, and decrypting the sections in memory where credential details are stored. credential dumpers may also use methods for reflective process injection to reduce potential indicators of malicious activity. linuxto obtain the passwords and hashes stored in memory, processes must open a maps file in the / proc filesystem for the process being analyzed. this file is stored under the path / proc / < pid > / maps, where the < pid > directory is the unique pid of the program being interrogated for such authentication data. the auditd monitoring tool, which ships stock in many linux distributions, can be used to watch for hostile processes opening this file in the pro
|
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mitre
|
17996.txt
| 14 |
##c file system, alerting on the pid, process name, and arguments of such programs. process : process creation the initial construction of an executable managed by the os, that may involve one or more tasks or threads. ( e. g. win eid 4688, sysmon eid 1, cmd. exe > net use, etc. ) process : process creation the initial construction of an executable managed by the os, that may involve one or more tasks or threads. ( e. g. win eid 4688, sysmon eid 1, cmd. exe > net use, etc. ) domain id name detects enterprise t1548 abuse elevation control mechanism monitor for newly executed processes that may circumvent mechanisms designed to control elevate privileges to gain higher - level permissions.. 002 bypass user account control monitor newly executed processes, such as eventvwr. exe and sdclt. exe, that may bypass uac mechanisms to elevate process privileges on system.. 003 sudo and sudo caching monitor newly executed processes that may perform sudo caching and / or use the suoders file to elevate privileges.. 004 elevated execution with prompt consider monitoring for / usr / libexec / security _ authtrampoline executions which may indicate that authorizationexecutewithprivileges is being executed. macos system logs may also indicate when authorizationexecutewithprivileges is being called. enterprise t1134 access token manipulation monitor for executed processes that may modify access tokens to operate under a different user or system security context to perform actions and bypass access controls.. 004 parent pid spoofing monitor for newly constructed processes and / or command - lines that may abuse mechanisms to evade defenses, such as those blocking processes spawning directly from office documents, and analysis targeting unusual / potentially malicious parent - child process relationships, such as spoofing the ppid of powershell / rundll32 to be explorer. exe enterprise t1087 account discovery monitor for processes that can be used to enumerate user accounts and groups such as net. exe and net1. exe, especially when executed in quick succession. [ 51 ] information may also be acquired through windows system management tools such as windows management instrumentation and powershell.. 001 local account monitor for processes that can be used to enumerate user accounts and
|
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] |
mitre
|
17996.txt
| 15 |
groups such as net. exe and net1. exe, especially when executed in quick succession. [ 51 ] information may also be acquired through windows system management tools such as windows management instrumentation and powershell.. 002 domain account monitor for processes that can be used to enumerate domain accounts and groups, such as net. exe and net1. exe, especially when executed in quick succession. [ 51 ] information may also be acquired through windows system management tools such as windows management instrumentation and powershell.. 003 email account monitor for newly executed processes, such as windows management instrumentation and powershell, with arguments that can be used to enumerate email addresses and accounts. enterprise t1098 account manipulation monitor for newly constructed processes indicative of modifying account settings, such as those that modify authorized _ keys or / etc / ssh / sshd _ config files.. 004 ssh authorized keys monitor for suspicious processes modifying the authorized _ keys or / etc / ssh / sshd _ config files. ics t0830 adversary - in - the - middle host - based implementations of this technique may utilize networking - based system calls or network utility commands ( e. g., iptables ) to locally intercept traffic. monitor for relevant process creation events. enterprise t1010 application window discovery monitor for newly executed processes that may attempt to get a listing of open application windows. system and network discovery techniques normally occur throughout an operation as an adversary learns the environment. data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities based on the information obtained. enterprise t1560 archive collected data monitor for newly constructed processes and / or command - lines that aid in compression or encrypting data that is collected prior to exfiltration, such as 7 - zip, winrar, and winzip.. 001 archive via utility monitor for newly constructed processes and / or command - lines that aid in compression or encrypting data that is collected prior to exfiltration, such as 7 - zip, winrar, and winzip. enterprise t1197 bits jobs monitor for newly constructed bits tasks to enumerate using the bitsadmin tool ( bitsadmin / list / allusers / verbose ). enterprise t1547 boot or logon autostart execution suspicious program execution as autostart programs may show up as outlier processes that have not been seen before when compared against historical data to
|
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mitre
|
17996.txt
| 16 |
increase confidence of malicious activity, data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as network connections made for command and control, learning details about the environment through discovery, and lateral movement.. 001 registry run keys / startup folder monitor for newly executed processes executed from the run / runonce registry keys through windows eid 9707 or " software \ microsoft \ windows \ currentversion \ run " and " software \ microsoft \ windows \ currentversion \ runonce " registry keys with the full command line.. 003 time providers monitor newly executed processes, such as the w32tm. exe utility. [ 52 ] the sysinternals autoruns tool may also be used to analyze auto - starting locations, including dlls listed as time providers. [ 53 ]. 006 kernel modules and extensions monitor for newly created processes that may modify the kernel to automatically execute programs on system boot.. 009 shortcut modification monitor for newly executed processes that may create or edit shortcuts to run a program during system boot or user login.. 013 xdg autostart entries monitor newly executed processes that may modify xdg autostart entries to execute programs or commands during system boot.. 014 active setup monitor newly executed processes that may achieve persistence by adding a registry key to the active setup of the local machine.. 015 login items monitor processes that start at login for unusual or unknown applications. usual applications for login items could include what users add to configure their user environment, such as email, chat, or music applications, or what administrators include for organization settings and protections. check for running applications from login items that also have abnormal behavior, such as establishing network connections. enterprise t1037 boot or logon initialization scripts monitor for newly executed processes that may use scripts automatically executed at boot or logon initialization to establish persistence.. 001 logon script ( windows ) monitor for newly constructed processes and / or command - lines that execute logon scripts. 002 login hook monitor for processes and / or command - lines to install or modify login hooks, as well as processes spawned at user login by these hooks.. 003 network logon script monitor for newly constructed processes and / or command - lines that execute logon scripts. 004 rc scripts monitor for newly constructed processes and / or command - lines that execute / etc / rc. local if present.
|
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mitre
|
17996.txt
| 17 |
. 005 startup items monitor for newly constructed processes and / or command - lines that execute during the boot up process to check for unusual or unknown applications and behavior enterprise t1217 browser bookmark discovery monitor newly constructed processes, e. g. browsers, for to gather personal information about users ( ex : banking sites, interests, social media, etc. ) enterprise t1176 browser extensions monitor for newly executed processes that could be used to abuse internet browser extensions to establish persistence. enterprise t1059 command and scripting interpreter monitor log files for process execution through command - line and scripting activities. this information can be useful in gaining additional insight to adversaries'actions through how they use native processes or custom tools. also monitor for loading of modules associated with specific languages.. 001 powershell monitor for newly executed processes that may abuse powershell commands and scripts for execution.. 002 applescript monitor for newly executed processes that may abuse applescript for execution. scripts are likely to perform actions with various effects on a system that may generate events, depending on the types of monitoring used. actions may be related to network and system information discovery, collection, or other scriptable post - compromise behaviors and could be used as indicators of detection leading back to the source script.. 003 windows command shell monitor for newly executed processes that may abuse the windows command shell for execution.. 004 unix shell monitor for newly executed processes that may abuse unix shell commands and scripts for execution.. 005 visual basic monitor for events associated with vb execution, such as office applications spawning processes, usage of the windows script host ( typically cscript. exe or wscript. exe ). vb execution is likely to perform actions with various effects on a system that may generate events, depending on the types of monitoring used.. 006 python monitor systems for abnormal python usage and python. exe behavior, which could be an indicator of malicious activity. understanding standard usage patterns is important to avoid a high number of false positives. if scripting is restricted for normal users, then any attempts to enable scripts running on a system would be considered suspicious. if scripts are not commonly used on a system, but enabled, scripts running out of cycle from patching or other administrator functions are suspicious. scripts should be captured from the file system when possible to determine their actions and intent. scripts are likely to perform actions with various effects on a system that may generate events, depending on the types of monitoring used. monitor newly executed processes that may abuse python
|
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mitre
|
17996.txt
| 18 |
commands and scripts for execution.. 007 javascript monitor for events associated with scripting execution, such as process activity, usage of the windows script host ( typically cscript. exe or wscript. exe ), file activity involving scripts ics t0807 command - line interface monitor for processes spawning from known command shell applications ( e. g., powershell, bash ). benign activity will need to be allow - listed. this information can be useful in gaining additional insight to adversaries'actions through how they use native processes or custom tools. enterprise t1609 container administration command container administration service activities and executed commands can be captured through logging of process execution with command - line arguments on the container as well as within the underlying host. enterprise t1136 create account monitor newly executed processes associated with account creation, such as net. exe. 001 local account monitor newly executed processes associated with account creation, such as net. exe. 002 domain account monitor newly executed processes associated with account creation, such as net. exe enterprise t1543 create or modify system process new, benign system processes may be created during installation of new software.. 002 systemd service suspicious processes or scripts spawned in this manner will have a parent process of ‘ systemd ’, a parent process id of 1, and will usually execute as the ‘ root ’ user.. 003 windows service suspicious program execution through services may show up as outlier processes that have not been seen before when compared against historical data. look for abnormal process call trees from known services and for execution of other commands that could relate to discovery or other adversary techniques. data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as network connections made for command and control, learning details about the environment through discovery, and lateral movement.. 004 launch daemon monitor for newly executed processes that may create or modify launch daemons to execute malicious payloads as part of persistence. enterprise t1555 credentials from password stores monitor newly executed processes that may search for common password storage locations to obtain user credentials.. 001 keychain monitor processes spawned by command line utilities to manipulate keychains directly, such as security, combined with arguments to collect passwords, such as dump - keychain - d.. 004 windows credential manager monitor newly executed processes for suspicious activity listing credentials from the windows credentials locker ( e. g. vaultcmd / listcreds : "
|
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] |
mitre
|
17996.txt
| 19 |
windows credentials " ). [ 54 ] enterprise t1485 data destruction monitor for newly executed processes of binaries that could be involved in data destruction activity, such as sdelete. ics t0809 data destruction monitor for newly executed processes of binaries that could be involved in data destruction activity, such as sdelete. enterprise t1486 data encrypted for impact monitor for newly constructed processes and / or command - lines involved in data destruction activity, such as vssadmin, wbadmin, and bcdedit. ics t0811 data from information repositories in the case of detecting collection from local systems monitor for newly executed processes that may search local system sources, such as file systems or local databases, to find files of interest and sensitive data prior to exfiltration. for added context on adversary procedures and background see data from local system. enterprise t1005 data from local system monitor for newly executed processes that may search local system sources, such as file systems or local databases, to find files of interest and sensitive data prior to exfiltration. enterprise t1622 debugger evasion monitoring for suspicious processes being spawned that gather a variety of system information or perform other forms of discovery, especially in a short period of time, may aid in detection. debugger related system checks will likely occur in the first steps of an operation but may also occur throughout as an adversary learns the environment. data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as lateral movement, based on the information obtained. enterprise t1140 deobfuscate / decode files or information monitor for newly executed processes that attempt to hide artifacts of an intrusion, such as common archive file applications and extensions ( ex : zip and rar archive tools ), and correlate with other suspicious behavior to reduce false positives from normal user and administrator behavior. enterprise t1561 disk wipe monitor newly executed processes that may wipe or corrupt raw disk data on specific systems or in large numbers in a network to interrupt availability to system and network resources.. 001 disk content wipe monitor newly executed processes that may erase the contents of storage devices on specific systems or in large numbers in a network to interrupt availability to system and network resources.. 002 disk structure wipe monitor newly executed processes that may corrupt or wipe the disk data structures on a hard drive necessary to boot a system ; targeting specific critical systems or in large numbers in a network to interrupt availability
|
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mitre
|
17996.txt
| 20 |
to system and network resources. enterprise t1482 domain trust discovery monitor for newly executed processes that may attempt to gather information on domain trust relationships that may be used to identify lateral movement opportunities in windows multi - domain / forest environments. enterprise t1189 drive - by compromise look for behaviors on the endpoint system that might indicate successful compromise, such as abnormal behaviors of browser processes. this could include suspicious files written to disk, evidence of process injection for attempts to hide execution, or evidence of discovery. ics t0817 drive - by compromise monitor for behaviors on the endpoint system that might indicate successful compromise, such as abnormal behaviors of browser processes. this could include suspicious files written to disk. enterprise t1611 escape to host monitor for process activity ( such as unexpected processes spawning outside a container and / or on a host ) that might indicate an attempt to escape from a privileged container to host. enterprise t1546 event triggered execution tools such as sysinternals autoruns can be used to detect changes to execution triggers that could be attempts at persistence. also look for abnormal process call trees for execution of other commands that could relate to discovery actions or other techniques.. 001 change default file association monitor for newly executed processes that may establish persistence by executing malicious content triggered by a file type association.. 002 screensaver monitor newly executed processes that may establish persistence by executing malicious content triggered by user inactivity.. 003 windows management instrumentation event subscription monitor newly executed processes that result from the execution of subscriptions ( i. e. spawning from the wmiprvse. exe wmi provider host process ).. 004 unix shell configuration modification monitor newly executed processes that may establish persistence through executing malicious commands triggered by a user ’ s shell.. 005 trap monitor newly executed processes that may establish persistence by executing malicious content triggered by an interrupt signal.. 006 lc _ load _ dylib addition monitor processes for those that may be used to modify binary headers.. 007 netsh helper dll it is likely unusual for netsh. exe to have any child processes in most environments. monitor process executions and investigate any child processes spawned by netsh. exe for malicious behavior.. 008 accessibility features monitor newly executed processes that may establish persistence and / or elevate privileges by executing malicious content triggered by accessibility features.. 009 appcert dlls monitor newly executed processes that may establish persistence and / or elevate privileges by executing malicious content triggered by app
|
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] |
mitre
|
17996.txt
| 21 |
##cert dlls loaded into processes.. 010 appinit dlls monitor newly executed processes that may establish persistence and / or elevate privileges by executing malicious content triggered by appinit dlls loaded into processes.. 011 application shimming monitor newly executed processs for sdbinst. exe for potential indications of application shim abuse. there are several public tools available that will detect shims that are currently available [ 55 ] : * shim - process - scanner - checks memory of every running process for any shim flags * shim - detector - lite - detects installation of custom shim databases * shim - guard - monitors registry for any shim installations * shimscanner - forensic tool to find active shims in memory * shimcachemem - volatility plug - in that pulls shim cache from memory ( note : shims are only cached after reboot ). 012 image file execution options injection monitor for abnormal usage of the gflags tool as well as common processes spawned under abnormal parents and / or with creation flags indicative of debugging such as debug _ process and debug _ only _ this _ process. [ 56 ]. 013 powershell profile monitor newly executed processes that may gain persistence and elevate privileges by executing malicious content triggered by powershell profiles.. 014 emond monitor newly executed processes that may gain persistence and elevate privileges by executing malicious content triggered by the event monitor daemon ( emond ).. 015 component object model hijacking monitor newly executed processes that may establish persistence by executing malicious content triggered by hijacked references to component object model ( com ) objects.. 016 installer packages monitor processes with arguments that may be related to abuse of installer packages, including malicious, likely elevated processes triggered by application installations. enterprise t1480 execution guardrails monitoring for suspicious processes being spawned that gather a variety of system information or perform other forms of discovery, especially in a short period of time, may aid in detection. detecting the use of guardrails may be difficult depending on the implementation.. 001 environmental keying monitoring for suspicious processes being spawned that gather a variety of system information or perform other forms of discovery, especially in a short period of time, may aid in detection. detecting the use of environmental keying may be difficult depending on the implementation. enterprise t1052 exfiltration over physical medium monitor for newly executed processes when removable media is mounted.. 001 exfiltration
|
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mitre
|
17996.txt
| 22 |
over usb monitor for newly executed processes when removable media is mounted enterprise t1203 exploitation for client execution monitor for abnormal process creations, such as a command and scripting interpreter spawning from a potentially exploited application. also look for other behavior on the endpoint system that might indicate successful compromise, such as abnormal behavior of browser or office processes. enterprise t1212 exploitation for credential access monitor for abnormal process creations, such as a command and scripting interpreter spawning from a potentially exploited application. also look for behavior on the system that might indicate successful compromise, such as abnormal behavior of processes. enterprise t1211 exploitation for defense evasion monitor for abnormal process creations, such as a command and scripting interpreter spawning from a potentially exploited application. also look for behavior on the system that might indicate successful compromise, such as abnormal behavior of processes. enterprise t1068 exploitation for privilege escalation monitor for newly executed processes that may exploit software vulnerabilities in an attempt to elevate privileges. enterprise t1083 file and directory discovery monitor newly executed processes that may enumerate files and directories or may search in specific locations of a host or network share for certain information within a file system. enterprise t1222 file and directory permissions modification monitor for newly executed processes that may modify file or directory permissions / attributes to evade access control lists ( acls ) and access protected files. [ 57 ] [ 58 ]. 001 windows file and directory permissions modification monitor for newly constructed processes and / or command - lines that can interact with the dacls using built - in windows commands, such as icacls, cacls, takeown, and attrib, which can grant adversaries higher permissions on specific files and folders.. 002 linux and mac file and directory permissions modification monitor for newly executed processes that may modify file or directory permissions / attributes to evade access control lists ( acls ) and access protected files. [ 57 ] [ 58 ] ics t0823 graphical user interface monitor for newly executed processes related to services specifically designed to accept remote graphical connections, such as rdp and vnc. remote services and valid accounts may be used to access a host ’ s gui. enterprise t1615 group policy discovery monitor for newly executed processes that may gather information on group policy settings to identify paths for privilege escalation, security measures applied within a domain, and to discover patterns in domain objects that can be manipulated or used to blend in the environment. enterprise t
|
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] |
mitre
|
17996.txt
| 23 |
##1564 hide artifacts monitor newly executed processes that may attempt to hide artifacts associated with their behaviors to evade detection.. 001 hidden files and directories monitor newly executed processes that may set files and directories to be hidden to evade detection mechanisms.. 002 hidden users monitor newly executed processes for actions that could be taken to add a new user and subsequently hide it from login screens.. 003 hidden window monitor newly executed processes that may use hidden windows to conceal malicious activity from the plain sight of users.. 006 run virtual instance monitor newly executed processes associated with running a virtual instance, such as those launched from binary files associated with common virtualization technologies ( ex : virtualbox, vmware, qemu, hyper - v ).. 009 resource forking monitor newly executed processes that may abuse resource forks to hide malicious code or executables to evade detection and bypass security applications.. 010 process argument spoofing analyze process behavior to determine if a process is performing actions it usually does not and / or do no align with its logged command - line arguments. detection of process argument spoofing may be difficult as adversaries may momentarily modify stored arguments used for malicious execution. these changes may bypass process creation detection and / or later process memory analysis. consider monitoring for process hollowing, which includes monitoring for process creation ( especially those in a suspended state ) as well as access and / or modifications of these processes ( especially by the parent process ) via windows api calls. [ 59 ] [ 60 ] enterprise t1574 hijack execution flow monitor processes for unusual activity ( e. g., a process that does not use the network begins to do so, abnormal process call trees ). track library metadata, such as a hash, and compare libraries that are loaded at process execution time against previous executions to detect differences that don't correlate with patching or updates.. 002 dll side - loading monitor newly constructed processes for unusual activity ( e. g., a process that does not use the network begins to do so ) as well as the introduction of new files / programs.. 005 executable installer file permissions weakness monitor for newly constructed processes to match an existing service executables.. 006 dynamic linker hijacking monitor for newly executed processes for unusual activity ( e. g., a process that does not use the network begins to do so ).. 007 path interception by path environment variable monitor for newly executed processes for process exec
|
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2832,
4654,
8586
] |
mitre
|
17996.txt
| 24 |
##utable paths that are named for partial directories.. 008 path interception by search order hijacking monitor for newly executed processes for process executable paths that are named for partial directories.. 009 path interception by unquoted path monitor for newly executed processes that may execute their own malicious payloads by hijacking vulnerable file path references.. 010 services file permissions weakness monitor for newly executed processes that may execute their own malicious payloads by hijacking the binaries used by services.. 011 services registry permissions weakness monitor suspicious programs execution through services. these processes may show up as outlier processes that have not been seen before when compared against historical data.. 012 cor _ profiler monitor for newly executed processes, such as setx. exe, that may abuse of the cor _ profiler variable, monitor for new suspicious unmanaged profiling dlls loading into. net processes shortly after the clr causing abnormal process behavior. [ 61 ] enterprise t1562 impair defenses monitor newly executed processes that may maliciously modify components of a victim environment in order to hinder or disable defensive mechanisms.. 002 disable windows event logging monitor newly executed processes that may disable windows event logging to limit data that can be leveraged for detections and audits.. 009 safe mode boot monitor newly executed processes that may abuse windows safe mode to disable endpoint defenses.. 010 downgrade attack monitor newly executed processes that may downgrade or use a version of system features that may be outdated, vulnerable, and / or does not support updated security controls such as logging. enterprise t1070 indicator removal monitor for newly executed processes that may delete or alter generated artifacts on a host system, including logs or captured files such as quarantined malware.. 005 network share connection removal monitor for newly constructed processes and / or command line execution that can be used to remove network share connections via the net. exe process.. 007 clear network connection history and configurations monitor created processes with arguments that may delete or alter malicious network configuration settings as well as generated artifacts that highlight network connection history on a host system - - which may include logs, files, or registry values.. 008 clear mailbox data monitor for newly executed processes with arguments that may delete or alter generated artifacts on a host system, including logs or captured files such as quarantined emails.. 009 clear persistence monitor for newly executed processes that may delete
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mitre
|
17996.txt
| 25 |
or alter generated artifacts associated with persistence on a host system. ics t0872 indicator removal on host monitor for newly executed processes that may delete or alter generated artifacts on a host system, including logs or captured files such as quarantined malware. enterprise t1202 indirect command execution monitor for newly constructed processes and / or command - lines that can be used instead of invoking cmd ( i. e. pcalua. exe, winrs. exe, cscript / wscript. exe, hh. exe, or bash. exe ) enterprise t1490 inhibit system recovery use process monitoring to monitor the execution and command line parameters of binaries involved in inhibiting system recovery, such as vssadmin, wbadmin, and bcdedit. enterprise t1056 input capture monitor for newly executed processes conducting malicious activity. 002 gui input capture monitor for newly executed processes enterprise t1559 inter - process communication monitor for newly executed processes that are associated with abuse of ipc mechanisms. 001 component object model monitor for newly executed processes that are associated with com objects, especially those invoked by a user different than the one currently logged on.. 002 dynamic data exchange monitor for newly executed processes that may use windows dynamic data exchange ( dde ) to execute arbitrary commands. enterprise t1570 lateral tool transfer monitor newly constructed processes that assist in lateral tool transfers. ics t0867 lateral tool transfer monitor newly constructed processes that assist in lateral tool transfers, such as file transfer programs. enterprise t1112 modify registry monitor processes and command - line arguments for actions that could be taken to change, conceal, and / or delete information in the registry. ( i. e. reg. exe, regedit. exe ) ics t0840 network connection enumeration monitor for executed processes ( such as ipconfig / ifconfig and arp ) with arguments that may look for details about the network configuration and settings, such as ip and / or mac addresses. also monitor for executed processes that may attempt to get a listing of network connections to or from the compromised system they are currently accessing or from remote systems by querying for information over the network. enterprise t1135 network share discovery monitor for newly executed processes that may look for folders and drives shared on remote systems as a means of identifying sources of information to gather as a precursor for collection and to identify potential systems of interest for lateral movement. enterprise t
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] |
mitre
|
17996.txt
| 26 |
##1040 network sniffing monitor for newly executed processes that can aid in sniffing network traffic to capture information about an environment, including authentication material passed over the network ics t0842 network sniffing monitor for newly executed processes that can aid in sniffing network traffic to capture information about an environment. enterprise t1027 obfuscated files or information monitor for newly executed processes that may attempt to make an executable or file difficult to discover or analyze by encrypting, encoding, or otherwise obfuscating its contents on the system or in transit.. 004 compile after delivery monitor for newly constructed processes and / or command - lines that look for non - native binary formats and cross - platform compiler and execution frameworks like mono and determine if they have a legitimate purpose on the system. typically these should only be used in specific and limited cases, like for software development. enterprise t1137 office application startup monitor newly executed processes that may leverage microsoft office - based applications for persistence between startups. collect process execution information including process ids ( pid ) and parent process ids ( ppid ) and look for abnormal chains of activity resulting from office processes. non - standard process execution trees may also indicate suspicious or malicious behavior. if winword. exe is the parent process for suspicious processes and activity relating to other adversarial techniques, then it could indicate that the application was used maliciously.. 001 office template macros monitor newly executed processes that may abuse microsoft office templates to obtain persistence on a compromised system.. 002 office test monitor newly executed processes that may abuse the microsoft office " office test " registry key to obtain persistence on a compromised system.. 003 outlook forms monitor newly executed processes that may abuse microsoft outlook forms to obtain persistence on a compromised system.. 004 outlook home page monitor newly executed processes that may abuse microsoft outlook's home page feature to obtain persistence on a compromised system.. 005 outlook rules monitor newly executed processes that may abuse microsoft outlook rules to obtain persistence on a compromised system.. 006 add - ins monitor newly executed processes that may abuse microsoft office add - ins to obtain persistence on a compromised system. enterprise t1003 os credential dumping monitor for newly executed processes that may be indicative of credential dumping. on windows 8. 1 and windows server 2012 r2, monitor windows logs for lsass. exe creation to verify that lsass started as a protected process.. 001 lsass memory monitor for newly executed processes that may be indicative
|
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1048,
20939,
2015,
2318,
2004,
1037,
5123,
2832,
1012,
1012,
25604,
1048,
20939,
2015,
3638,
8080,
2005,
4397,
6472,
6194,
2008,
2089,
2022,
24668
] |
mitre
|
17996.txt
| 27 |
of credential dumping. on windows 8. 1 and windows server 2012 r2, monitor windows logs for lsass. exe creation to verify that lsass started as a protected process. enterprise t1201 password policy discovery monitor for newly executed processes that may attempt to access detailed information about the password policy used within an enterprise network or cloud environment. enterprise t1120 peripheral device discovery monitor for newly executed processes that may attempt to gather information about attached peripheral devices and components connected to a computer system. enterprise t1069 permission groups discovery monitor for newly constructed processes and / or command - lines for actions that could be taken to gather system and network information. system and network discovery techniques normally occur throughout an operation as an adversary learns the environment. data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as lateral movement, based on the information obtained.. 001 local groups monitor newly executed processes that may attempt to find local system groups and permission settings.. 002 domain groups monitor newly executed processes that may attempt to find domain - level groups and permission settings.. 003 cloud groups monitor newly executed processes that may attempt to find cloud groups and permission settings. enterprise t1647 plist file modification monitor for newly executed processes with arguments that can modify property list ( plist ) files. enterprise t1057 process discovery monitor for newly executed processes that may attempt to get information about running processes on a system. enterprise t1012 query registry monitor for newly executed processes that may interact with the windows registry to gather information about the system, configuration, and installed software. enterprise t1219 remote access software monitor for applications and processes related to remote admin tools. correlate activity with other suspicious behavior that may reduce false positives if these tools are used by legitimate users and administrators. domain fronting may be used in conjunction to avoid defenses. adversaries will likely need to deploy and / or install these remote tools to compromised systems. it may be possible to detect or prevent the installation of these tools with host - based solutions. enterprise t1563 remote service session hijacking monitor newly executed processes that may take control of preexisting sessions with remote services to move laterally in an environment.. 001 ssh hijacking monitor newly executed processes that may hijack a legitimate user's ssh session to move laterally within an environment.. 002 rdp hijacking consider monitoring processes for tscon. exe usage enterprise t
|
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mitre
|
17996.txt
| 28 |
##1021 remote services monitor for newly executed processes that may use valid accounts to log into a service specifically designed to accept remote connections, such as rdp, telnet, ssh, and vnc. the adversary may then perform actions that spawn additional processes as the logged - on user.. 001 remote desktop protocol monitor for newly executed processes ( such as mstsc. exe ) that may use valid accounts to log into a computer using the remote desktop protocol ( rdp ). the adversary may then perform actions that spawn additional processes as the logged - on user.. 003 distributed component object model monitor for newly executed processes associated with dcom activity, especially those invoked by a user different than the one currently logged on. enumeration of com objects, via query registry or powershell, may also precede malicious use. [ 62 ] [ 63 ]. 004 ssh monitor for newly executed processes that may use valid accounts to log into remote machines using secure shell ( ssh ). for example, on macos systems log show - - predicate'process = " sshd "'can be used to review incoming ssh connection attempts for suspicious activity. the command log show - - info - - predicate'process = " ssh " or eventmessage contains " ssh "'can be used to review outgoing ssh connection activity. [ 64 ]. 005 vnc monitor for newly executed processes that may use valid accounts to remotely control machines using virtual network computing ( vnc ). for example, on macos systems the screensharingd process may be related to vnc connection activity. [ 64 ]. 006 windows remote management monitor for newly executed processes that may use valid accounts to interact with remote systems using windows remote management ( winrm ), as well as service processes such as wmiprvse. exe on destination hosts. ics t0886 remote services monitor for newly executed processes related to services specifically designed to accept remote connections, such as rdp, telnet, ssh, and vnc. the adversary may use valid accounts to login and may perform follow - on actions that spawn additional processes as the user. enterprise t1018 remote system discovery monitor for newly executed processes that can be used to discover remote systems, such as ping. exe and tracert. exe, especially when executed in quick succession. [ 51 ] ics t0846 remote system discovery monitor for newly executed processes that can be used to discover remote systems, such
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mitre
|
17996.txt
| 29 |
as ping. exe and tracert. exe, especially when executed in quick succession. [ 51 ] consider monitoring for new processes engaging in scanning activity or connecting to multiple systems by correlating process creation network data. ics t0888 remote system information discovery monitor for newly executed processes that can be used to discover remote systems, such as ping. exe and tracert. exe, especially when executed in quick succession. [ 51 ] consider monitoring for new processes engaging in scanning activity or connecting to multiple systems by correlating process creation network data. enterprise t1091 replication through removable media monitor for newly executed processes that execute from removable media after it is mounted or when initiated by a user. if a remote access tool is used in this manner to move laterally, then additional actions are likely to occur after execution, such as opening network connections for command and control and system and network information discovery. ics t0847 replication through removable media monitor for newly executed processes that execute from removable media after it is mounted or when initiated by a user. if a remote access tool is used in this manner to move laterally, then additional actions are likely to occur after execution, such as opening network connections for command and control and system and network information discovery. enterprise t1496 resource hijacking monitor for common cryptomining software process names that may indicate compromise and resource usage. enterprise t1053 scheduled task / job monitor for newly executed processes that may abuse task scheduling functionality to facilitate initial or recurring execution of malicious code.. 002 at monitor for newly constructed processes with command - lines that create / modify or are executed from tasks. for example, on windows tasks may spawn from svchost. exe or the windows task scheduler taskeng. exe for older os versions. [ 65 ] suspicious program execution through scheduled tasks may show up as outlier processes that have not been seen before when compared against historical data.. 003 cron monitor for newly constructed processes and / or command - lines that executed through scheduled tasks may show up as outlier processes that have not been seen before when compared against historical data. data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as network connections made for command and control, learning details about the environment through discovery, and lateral movement.. 005 scheduled task monitor for newly constructed processes and / or command - lines that execute from the svchost. ex
|
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mitre
|
17996.txt
| 30 |
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