Spike in Privileged Command Execution by a User
A machine learning job has detected an increase in the execution of privileged commands by a user, suggesting potential privileged access activity. This may indicate an attempt by the user to gain unauthorized access…
Description
A machine learning job has detected an increase in the execution of privileged commands by a user, suggesting potential privileged access activity. This may indicate an attempt by the user to gain unauthorized access to sensitive or restricted parts of the system.
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
- ContainersESXiIaaSIdentity ProviderLinuxmacOSNetwork DevicesOffice SuiteSaaSWindows
The rule states no platform. This is derived from the 2 ATT&CK techniques it maps to.
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/pad | 21 |
| www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html | 103 |
From the source
- At source
- Open at source
- Upstream identifier
- bd1eadf6-3ac6-4e66-91aa-4a1e6711915f
- Tagged by the source as
- Data Source: Elastic DefendData Source: Linux Sysmon LogsData Source: SysmonDomain: EndpointOS: LinuxPlatform: LinuxResources: Investigation GuideRule Type: Machine LearningRule Type: MLTactic: Privilege EscalationUse Case: Privileged Access Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 2