Connection to Common Large Language Model Endpoints
Identifies DNS queries to known Large Language Model domains by unsigned binaries or common Windows scripting utilities. Malwares may leverage the capabilities of LLM to perform actions in the affected system in a…
Description
Identifies DNS queries to known Large Language Model domains by unsigned binaries or common Windows scripting utilities. Malwares may leverage the capabilities of LLM to perform actions in the affected system in a dynamic way.
Detection logic
Its licence does not clear it for publishing here
Sunturai publishes a detection's own text where the licence it arrived under has been reviewed and permits it, and Elastic License 2.0 has not. The query as its source wrote it, its canonical form and the hash that pins this revision are in the workspace record.
Detection requirements
- Platform
- ESXiLinuxmacOSWindows
The rule states no platform. This is derived from the ATT&CK technique it maps to.
- Log source category
- event_index
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
References
| Reference | Cited by |
|---|---|
| malpedia.caad.fkie.fraunhofer.de/details/py.lamehug | Only this detection cites it |
From the source
- At source
- Open at source
- Upstream identifier
- 4ae94fc1-f08f-419f-b692-053d28219380
- Tagged by the source as
- Mitre Atlas: AML.T0096Data Source: Elastic DefendData Source: Elastic EndgameData Source: SentinelOneData Source: SysmonDomain: EndpointDomain: GenAINoise: HighOS: macOSOS: WindowsPerformance: NormalPlatform: macOSPlatform: WindowsProfile: AggressiveResources: Investigation GuideRule Type: Event Correlation (EQL)Tactic: Command and ControlThreat: Unauthorized AI UsageUse Case: Threat Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Oct 2, 2026
- Version
- 4