Unusual Windows Service
A machine learning job detected an unusual Windows service, This can indicate execution of unauthorized services, malware, or persistence mechanisms. In corporate Windows environments, hosts do not generally run many…
Description
A machine learning job detected an unusual Windows service, This can indicate execution of unauthorized services, malware, or persistence mechanisms. In corporate Windows environments, hosts do not generally run many rare or unique services. This job helps detect malware and persistence mechanisms that have been installed and run as a service.
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
- ContainersLinuxmacOSWindows
The rule states no platform. This is derived from the 2 ATT&CK techniques it maps to.
Known benign triggers
- A newly installed program or one that runs rarely as part of a monthly or quarterly workflow could trigger this alert.
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 |
|---|---|
| www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html | 103 |
From the source
- At source
- Open at source
- Upstream identifier
- 1781d055-5c66-4adf-9c71-fc0fa58338c7
- Tagged by the source as
- Data Source: Elastic DefendData Source: Windows Security Event LogsDomain: EndpointOS: WindowsPlatform: WindowsResources: Investigation GuideRule Type: Machine LearningRule Type: MLTactic: PersistenceUse Case: Threat Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 2