FIN10 is a financially motivated threat group that has targeted organizations in North America since at least 2013 through 2016. The group uses stolen data exfiltrated from victims to extort organizations. [1]
11
Techniques35th pct
8
Tactics48th pct
1
Tool or malwareBottom 23%
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
FIN10 has used batch scripts and scheduled tasks to delete critical system files.9
Stealth30 detection rules
Standing G0051
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
Techniques1135th pct
35th percentile · 65% of 176 ATT&CK groups have more Enterprise techniques.
Tactics848th pct
48th percentile · 52% of 176 ATT&CK groups have more tactics spanned.
Tool or malware1Bottom 23%
23rd percentile · 77% of 176 ATT&CK groups have more tools and malware.
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 / technique46medTop 10%
90th percentile · 90% of 176 ATT&CK groups have this many detection rules per technique or fewer.
Tests / technique8med
FIN10 detections G0051
688 distinct rules cover the 11 techniques recorded for this group. 486 Sigma · 202 Splunk.
11 covered by at least one rule688 distinct rules in total
Showing 1-50 of 600+ rules
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Title
Description
Category
Status
Event
OS
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MITRE ATT&CK
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Created
Updated
ID
Refs
Detects accounts that are created or deleted by non-approved users.
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.
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.
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.
The following analytic identifies the execution of the "whoami" command with the "/group" flag, where the results are passed to the "find" command in order to look for a the string "12288". (...)
This analytic detects the creation of privileged user accounts on Cisco IOS devices, which could indicate an attacker establishing backdoor access. (...)