Spike in User Account Management Events
A machine learning job has identified a spike in user account management events for a user, indicating potential privileged access activity. This indicates an unusual increase in actions related to managing user…
Description
A machine learning job has identified a spike in user account management events for a user, indicating potential privileged access activity. This indicates an unusual increase in actions related to managing user accounts (such as creating, modifying, or deleting accounts), which could be a sign of an attempt to escalate privileges or unauthorized activity involving account management.
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 4 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
- 37cca4d4-92ab-4a33-a4f8-44a7a380ccda
- 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