RawPOS is a point-of-sale (POS) malware family that searches for cardholder data on victims. It has been in use since at least 2008. [1][2][3] FireEye divides RawPOS into three components: FIENDCRY, DUEBREW, and DRIFTWOOD. [4][5]
5
TechniquesBottom 23%
4
Tactics32nd pct
1
Threat groupunranked
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
New services created by RawPOS are made to appear like legitimate Windows services, with names such as "Windows Management Help Service", "Microsoft Support", and "Windows Advanced Task Manager".91011
RawPOS encodes credit card data it collected from the victim with XOR.161718
Collectionno detection rules
Standing S0169
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
Techniques5Bottom 23%
23rd percentile · 77% of 825 ATT&CK software entries have more Enterprise techniques.
Tactics432nd pct
32nd percentile · 68% of 825 ATT&CK software entries have more tactics spanned.
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 / technique5medBottom 7%
7th percentile · 93% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique3medBottom 16%
16th percentile · 84% of 825 ATT&CK software entries have more atomic tests per technique.
Data comps / technique5med54% 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 5 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
The following analytic identifies the use of named-pipe impersonation for privilege escalation, commonly associated with Cobalt Strike and similar frameworks. (...)
This detection identifies access to sensitive system and configuration files on an ESXi host, including authentication data, service configurations, and VMware-specific management settings. (...)
Detects PowerShell scripts that make use of the "Compress-Archive" Cmdlet in order to compress folders and files where the output is stored in a potentially suspicious location that is used often by malware for exfiltration. (...)
The following analytic identifies the use of suspicious command-line parameters associated with Impacket tools, such as `wmiexec.py`, `smbexec.py`, `dcomexec.py`, and `atexec.py`, which are used for lateral movement and remote code execution. (...)
The following analytic detects the execution of a kworker process with a command line in writable directories such as /home/, /var/log, and /tmp on a Linux machine. (...)
The following analytic detects the spawning of a PowerShell process as a child or grandchild of commonly abused processes like services.exe, wmiprvse.exe, svchost.exe, wsmprovhost.exe, and mmc.exe. (...)
Detects the modification of an existing service in order to execute an arbitrary payload when the service is started or killed as a potential method for persistence.