S0169: RawPOS
Security context for executives and security teams
S0169: RawPOS describes [RawPOS](https://attack.mitre.org/software/S0169) is a point-of-sale (POS) malware family that searches for cardholder data on victims. It has been in use since at least 2008. (Citation: Kroll RawPOS Jan 2017) (Citation: TrendMicro RawPOS April 2015) (Citation: Visa RawPOS March 2015) FireEye divides RawPOS into three components: FIENDCRY, DUEBREW, and DRIFTWOOD. (Citation: Mandiant FIN5 GrrCON Oct 2016) (Citation: DarkReading FireEye FIN5 Oct 2015)
Executive priority
S0169: RawPOS is an official MITRE ATT&CK software. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate S0169: RawPOS by reviewing the official ATT&CK relationships, mapped tactics (the mapped ATT&CK tactic context), supported platforms (Windows), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether S0169: RawPOS appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
RawPOS
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Techniques used
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1036.004 | Masquerade Task or ServiceSub-technique | |
| Enterprise | T1560.003 | Archive via Custom MethodSub-technique | |
| Enterprise | T1005 | Data from Local System | |
| Enterprise | T1074.001 | Local Data StagingSub-technique | |
| Enterprise | T1543.003 | Windows ServiceSub-technique |
Groups, software, and campaigns
G0053: FIN5
FIN5 is a financially motivated threat group that has targeted personally identifiable information and payment card information. The group has been active since at least 2008 and has targeted the restaurant, gaming, and hotel industries. The group is made up of actors who likely speak Russian. [1] [2] [3]
All related ATT&CK context
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.
Imported snapshots across ATT&CK releases(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.1 | Current bundle | 4605b5b907a8… | ||
| 19.1 | 1.1 | Older bundle | 4605b5b907a8… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]Kroll RawPOS Jan 2017
Nesbit, B. and Ackerman, D. (2017, January). Malware Analysis Report - RawPOS Malware: Deconstructing an Intruder’s Toolkit. Retrieved October 4, 2017.
Open source URL - [2]TrendMicro RawPOS April 2015
TrendLabs Security Intelligence Blog. (2015, April). RawPOS Technical Brief. Retrieved October 4, 2017.
- [3]Visa RawPOS March 2015
Visa. (2015, March). Visa Security Alert: "RawPOS" Malware Targeting Lodging Merchants. Retrieved October 6, 2017.
Open source URL - [4]Mandiant FIN5 GrrCON Oct 2016
Bromiley, M. and Lewis, P. (2016, October 7). Attacking the Hospitality and Gaming Industries: Tracking an Attacker Around the World in 7 Years. Retrieved October 6, 2017.
Open source URL - [5]DarkReading FireEye FIN5 Oct 2015
Higgins, K. (2015, October 13). Prolific Cybercrime Gang Favors Legit Login Credentials. Retrieved October 4, 2017.
Open source URL - [6]DRIFTWOOD
The DRIFTWOOD component is a Perl2Exe compiled Perl script used by G0053 after they have identified data of interest on victims. (Citation: Mandiant FIN5 GrrCON Oct 2016) (Citation: DarkReading FireEye FIN5 Oct 2015)
- [7]DUEBREW
The DUEBREW component is a Perl2Exe binary launcher. (Citation: Mandiant FIN5 GrrCON Oct 2016) (Citation: DarkReading FireEye FIN5 Oct 2015)
- [8]FIENDCRY
The FIENDCRY component is a memory scraper based on MemPDump that scans through process memory looking for regular expressions. Its stage 1 component scans all processes, and its stage 2 component targets a specific process of interest. (Citation: Mandiant FIN5 GrrCON Oct 2016) (Citation: Github Mempdump) (Citation: DarkReading FireEye FIN5 Oct 2015)
- [9]Github Mempdump
DiabloHorn. (2015, March 22). mempdump. Retrieved October 6, 2017.
Open source URL - [10]RawPOS
(Citation: Kroll RawPOS Jan 2017) (Citation: TrendMicro RawPOS April 2015) (Citation: DarkReading FireEye FIN5 Oct 2015)
- [11]mitre-attackS0169Open source URL
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