Spike in Special Privilege Use Events
A machine learning job has detected an unusual increase in special privilege usage events, such as privileged operations and service calls, for a user, suggesting potential unauthorized privileged access. A sudden…
Description
A machine learning job has detected an unusual increase in special privilege usage events, such as privileged operations and service calls, for a user, suggesting potential unauthorized privileged access. A sudden spike in these events may indicate an attempt to escalate privileges, execute unauthorized tasks, or maintain persistence within a 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 3 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
- 6fb2280a-d91a-4e64-a97e-1332284d9391
- Tagged by the source as
- Data Source: Windows Security Event LogsDomain: EndpointOS: WindowsPlatform: WindowsResources: 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