Rare Powershell Script
A machine learning job detected a rare PowerShell script, identified by its script block hash, that may indicate execution of malware, or persistence mechanisms. Unlike anomaly detection based on content entropy,…
Description
A machine learning job detected a rare PowerShell script, identified by its script block hash, that may indicate execution of malware, or persistence mechanisms. Unlike anomaly detection based on content entropy, this rule identifies scripts that have rarely or never been seen in the environment.
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 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. PowerShell scripts that are new to the environment or run infrequently may 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 |
| www.elastic.co/security-labs/detecting-living-off-the-land-attacks-with-new-elastic-integration | 10 |
From the source
- At source
- Open at source
- Upstream identifier
- 4577d441-0c05-4bfb-9068-39a0cb855269
- Tagged by the source as
- Data Source: PowerShell LogsDomain: EndpointOS: WindowsPlatform: WindowsResources: Investigation GuideRule Type: Machine LearningRule Type: MLTactic: ExecutionUse Case: Threat Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 2