Machine Learning Detected DGA activity using a known SUNBURST DNS domain
A supervised machine learning model has identified a DNS question name that used by the SUNBURST malware and is predicted to be the result of a Domain Generation Algorithm.
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
- ESXiLinuxmacOSNetwork DevicesWindows
The rule states no platform. This is derived from the 2 ATT&CK techniques 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 |
|---|---|
| docs.elastic.co/en/integrations/dga | 4 |
| www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html | 103 |
| www.elastic.co/security-labs/detect-domain-generation-algorithm-activity-with-new-kibana-integration | 4 |
From the source
- At source
- Open at source
- Upstream identifier
- bcaa15ce-2d41-44d7-a322-918f9db77766
- Tagged by the source as
- Data Source: Elastic DefendData Source: Network Packet CaptureDomain: EndpointDomain: NetworkNoise: LowPerformance: NormalResources: Investigation GuideRule Type: Custom Query (KQL)Rule Type: Machine LearningRule Type: MLTactic: Command and ControlUse Case: Domain Generation Algorithm Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 3