FIN6 · Magecart Group 6 · ITG08 · Skeleton Spider · TAAL · Camouflage Tempest
FIN6 is a cyber crime group that has stolen payment card data and sold it for profit on underground marketplaces. This group has aggressively targeted and compromised point of sale (PoS) systems in the hospitality and retail sectors.[1][2]
40
TechniquesTop 24%
13
TacticsTop 15%
12
Tools & malwareTop 15%
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
FIN6 used publicly available tools (including Microsoft's built-in SQL querying tool, osql.exe) to map the internal network and conduct reconnaissance against Active Directory, Structured Query Language (SQL) servers, and NetBIOS.10
Reach is how much of ATT&CK this group 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 176 ATT&CK groups 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
Techniques40Top 24%
76th percentile · 76% of 176 ATT&CK groups have this many Enterprise techniques or fewer.
Tactics13Top 15%
85th percentile · 85% of 176 ATT&CK groups have this many tactics spanned or fewer.
Tools & malware12Top 15%
85th percentile · 85% of 176 ATT&CK groups have this many tools and malware or fewer.
Campaigns089% tie · 4 values
89% of the population shares a single value across only 4 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique30medTop 21%
79th percentile · 79% of 176 ATT&CK groups have this many detection rules per technique or fewer.
Tests / technique4.5med
FIN6 detections G0037
1725 distinct rules cover the 40 techniques recorded for this group. 1126 Sigma · 599 Splunk.
36 covered by at least one rule4 with no coverage1725 distinct rules in total
Showing 1-50 of 1,700+ rules
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MITRE ATT&CK
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Detects potential DLL sideloading of DLLs that are known to be abused from suspicious locations
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.
Florian Roth (Nextron Systems), Tom Ueltschi, Jonhnathan Ribeiro, oscd.community
2017-11-10
2022-12-02
0bcfabcb-7929-47f4-93d6-b33fb67d34d1
Splunk
The following analytic detects suspicious modifications to firewall rule registry settings that allow inbound traffic on specific ports with a public profile. (...)
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.
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.