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Suspicious Windows Process Cluster Spawned by a User

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Suspicious Windows Process Cluster Spawned by a User

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A machine learning job combination has detected a set of one or more suspicious Windows processes with unusually high scores for malicious probability. These process(es) have been classified as malicious in several ways. The process(es) were predicted to be malicious by the ProblemChild supervised ML model. If the anomaly contains a cluster of suspicious processes, each process has the same user name, and the aggregate score of the event cluster was calculated to be unusually high by an unsupervised ML model. Such a cluster often contains 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: 1

Rule authors:

  • Elastic

Rule license: Elastic License v2

Investigation guide

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Framework: MITRE ATT&CKTM
















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