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Unusual Process Spawned by a User

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Unusual Process Spawned by a User

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A machine learning job has detected a suspicious Windows process. This process has been classified as malicious in two ways. It was predicted to be malicious by the ProblemChild supervised ML model, and it was found to be suspicious given that its user context is unusual and does not commonly manifest malicious activity,by an unsupervised ML model. Such a process may be an instance of suspicious or malicious activity, possibly involving LOLbins, that may be resistant to detection using conventional search rules.

Rule type: machine_learning

Rule indices: None

Severity: low

Risk score: 21

Runs every: 15m

Searches indices from: now-45m (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

  • Domain: Endpoint
  • OS: Windows
  • Use Case: Living off the Land Attack Detection
  • Rule Type: ML
  • Rule Type: Machine Learning
  • Tactic: Defense Evasion

Version: 2

Rule authors:

  • Elastic

Rule license: Elastic License v2

Framework: MITRE ATT&CKTM

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