S0046: CozyCar
Security context for executives and security teams
S0046: CozyCar describes [CozyCar](https://attack.mitre.org/software/S0046) is malware that was used by [APT29](https://attack.mitre.org/groups/G0016) from 2010 to 2015. It is a modular malware platform, and its backdoor component can be instructed to download and execute a variety of modules with different functionality. (Citation: F-Secure The Dukes)
Executive priority
S0046: CozyCar 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 S0046: CozyCar 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 S0046: CozyCar 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.
CozyCar
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 | T1059.003 | Windows Command ShellSub-technique | A module in CozyCar allows arbitrary commands to be executed by invoking |
| Enterprise | T1082 | System Information Discovery | A system info module in CozyCar gathers information on the victim host’s configuration.CitationF-Secure CozyDuke |
| Enterprise | T1071.001 | Web ProtocolsSub-technique | CozyCar's main method of communicating with its C2 servers is using HTTP or HTTPS.CitationF-Secure CozyDuke |
| Enterprise | T1102.002 | Bidirectional CommunicationSub-technique | CozyCar uses Twitter as a backup C2 channel to Twitter accounts specified in its configuration file.CitationF-Secure CozyDuke |
| Enterprise | T1547.001 | Registry Run Keys / Startup FolderSub-technique | One persistence mechanism used by CozyCar is to set itself to be executed at system startup by adding a Registry value under one of the following Registry keys: |
| Enterprise | T1518.001 | Security Software DiscoverySub-technique | The main CozyCar dropper checks whether the victim has an anti-virus product installed. If the installed product is on a predetermined list, the dropper will exit.CitationF-Secure CozyDuke |
| Enterprise | T1218.011 | Rundll32Sub-technique | |
| Enterprise | T1003.001 | LSASS MemorySub-technique | |
| Enterprise | T1497 | Virtualization/Sandbox Evasion | Some versions of CozyCar will check to ensure it is not being executed inside a virtual machine or a known malware analysis sandbox environment. If it detects that it is, it will exit.CitationF-Secure CozyDuke |
| Enterprise | T1027.013 | Encrypted/Encoded FileSub-technique | |
| Enterprise | T1003.002 | Security Account ManagerSub-technique | Password stealer and NTLM stealer modules in CozyCar harvest stored credentials from the victim, including credentials used as part of Windows NTLM user authentication.CitationF-Secure CozyDuke |
| Enterprise | T1036.003 | Rename Legitimate UtilitiesSub-technique | The CozyCar dropper has masqueraded a copy of the infected system's rundll32.exe executable that was moved to the malware's install directory and renamed according to a predefined configuration file.CitationF-Secure CozyDuke |
| Enterprise | T1053.005 | Scheduled TaskSub-technique | One persistence mechanism used by CozyCar is to register itself as a scheduled task.CitationF-Secure CozyDuke |
| Enterprise | T1543.003 | Windows ServiceSub-technique | One persistence mechanism used by CozyCar is to register itself as a Windows service.CitationF-Secure CozyDuke |
Groups, software, and campaigns
G0016: APT29
APT29 is threat group that has been attributed to Russia's Foreign Intelligence Service (SVR).[1][2] They have operated since at least 2008, often targeting government networks in Europe and NATO member countries, research institutes, and think tanks. APT29 reportedly compromised the Democratic National Committee starting in the summer of 2015.[3][4][5][6]
In April 2021, the US and UK governments attributed the SolarWinds Compromise to the SVR; public statements included citations to APT29, Cozy Bear, and The Dukes.[7][8] Industry reporting also referred to the actors involved in this campaign as UNC2452, NOBELIUM, StellarParticle, Dark Halo, and SolarStorm.[9][10][11][12][13][14]
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 | 1.3 | Current bundle | 55a792f95e7a… | ||
| 19.1 | 1.3 | Older bundle | 55a792f95e7a… |
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]F-Secure The Dukes
F-Secure Labs. (2015, September 17). The Dukes: 7 years of Russian cyberespionage. Retrieved December 10, 2015.
Open source URL - [2]mitre-attackS0046Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.
