Anomalous Process For a Linux Population
Searches for rare processes running on multiple Linux hosts in an entire fleet or network. This reduces the detection of false positives since automated maintenance processes usually only run occasionally on a single…
Description
Searches for rare processes running on multiple Linux hosts in an entire fleet or network. This reduces the detection of false positives since automated maintenance processes usually only run occasionally on a single machine but are common to all or many hosts in a fleet.
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 ATT&CK technique 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
- 647fc812-7996-4795-8869-9c4ea595fe88
- Tagged by the source as
- Data Source: Auditd ManagerData Source: Elastic DefendData Source: Network Packet CaptureDomain: EndpointOS: LinuxPlatform: LinuxResources: 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