Machine Learning Detected a Suspicious Windows Event with a High Malicious Probability Score
A supervised machine learning model (ProblemChild) has identified a suspicious Windows process event with high probability of it being malicious activity. Alternatively, the model's blocklist identified the event as…
Description
A supervised machine learning model (ProblemChild) has identified a suspicious Windows process event with high probability of it being malicious activity. Alternatively, the model's blocklist identified the event as being malicious.
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
- ContainersESXiLinuxmacOSWindows
The rule states no platform. This is derived from the ATT&CK technique it maps to.
- Log source category
- event_index
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/problemchild | 8 |
| 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
- 994e40aa-8c85-43de-825e-15f665375ee8
- Tagged by the source as
- Data Source: Elastic DefendData Source: Elastic EndgameDomain: EndpointNoise: HighOS: WindowsPerformance: NormalPlatform: WindowsProfile: AggressiveResources: Investigation GuideRule Type: Event Correlation (EQL)Rule Type: Machine LearningRule Type: MLTactic: Defense EvasionUse Case: Living off the Land Attack Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 3