Dtrack is spyware that was discovered in 2019 and has been used against Indian financial institutions, research facilities, and the Kudankulam Nuclear Power Plant. Dtrack shares similarities with the DarkSeoul campaign, which was attributed to Lazarus Group. [1][2][3][4][5]
23
TechniquesTop 15%
9
TacticsTop 11%
1
Threat groupunranked
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
Dtrack can collect network and active connection information.12
Discovery17 detection rules
Standing S0567
Reach is how much of ATT&CK this malware touches. Coverage is how well defended each thing it does is, as a median per technique rather than a total — a total would just restate the reach. Each figure is ranked against all 825 ATT&CK software entries only where that population actually spreads. Where most of the population shares one value, a percentile would rank the tie instead of the entity, so the raw value is shown and no rank is claimed.
Reach
Techniques23Top 15%
85th percentile · 85% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics9Top 11%
89th percentile · 89% of 825 ATT&CK software entries have this many tactics spanned or fewer.
Threat group161% tie · 22 values
61% of the population shares a single value across only 22 distinct values, so a percentile here would rank the tie, not the entity.
Campaigns085% tie · 8 values
85% of the population shares a single value across only 8 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique20med47th pct
47th percentile · 53% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique6med55th pct
55th percentile · 55% of 825 ATT&CK software entries have this many atomic tests per technique or fewer.
Data comps / technique4med54% tie · 11 values
54% of the population shares a single value across only 11 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique0medBottom 17%
17th percentile · 83% of 825 ATT&CK software entries have more mitigations per technique.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this malware’s 23 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
Mark Morowczynski '@markmorow', MikeDuddington, '@dudders1', Tim Shelton
2022-08-11
2022-08-18
6f583da0-3a90-4566-a4ed-83c09fe18bbf
This method uses uncommon error codes on failed logons to determine suspicious activity and tampering with accounts that have been disabled or somehow restricted.
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-01
—
248649b7-d64f-46f0-9fb2-a52774166fb5
Resource owner password credentials (ROPC) should be avoided if at all possible as this requires the user to expose their current password credentials to the application directly. (...)
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-01
—
55695bc0-c8cf-461f-a379-2535f563c854
Detects when AppLocker "Audit only" enforcement mode reports that an Application, DLL, Script, MSI, or Packaged-App would have been blocked if AppLocker "Enforce rules" enforcement mode was enabled.
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping or data exfiltration. (...)
Identifies two sign-ins originating from geographically distant locations, where at least one of the locations may also be atypical for the user, given past behavior.
Detects the Linux-specific execution chain of the plain-crypto-js malicious npm dependency by Axios NPM package, including payload download via curl and detached execution using nohup and python3. (...)
Detects the macOS-specific execution chain of the plain-crypto-js malicious npm dependency in Axios NPM Package, including AppleScript execution via osascript, payload download, permission modification, execution, and cleanup.
This detection uses Windows security events to detect suspicious access attempts to the registry key values and sub-keys of Azure AD Health service agents (e.g AD FS). (...)
The following analytic detects unusual authentication activity in Azure AD, specifically when a single user account has over 8 authentication attempts using 3+ unique application IDs and 5+ unique user agents within a short period. (...)
Detects a successful login to the Microsoft Intune Company Portal which could allow bypassing Conditional Access Policies and InTune device trust using a tool like TokenSmith.