High Mean of Process Arguments in an RDP Session

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High Mean of Process Arguments in an RDP Session

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A machine learning job has detected unusually high number of process arguments in an RDP session. Executing sophisticated attacks such as lateral movement can involve the use of complex commands, obfuscation mechanisms, redirection and piping, which in turn increases the number of arguments in a command.

Rule type: machine_learning

Rule indices: None

Severity: low

Risk score: 21

Runs every: 15m

Searches indices from: now-12h (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

  • Use Case: Lateral Movement Detection
  • Rule Type: ML
  • Rule Type: Machine Learning
  • Tactic: Lateral Movement

Version: 1

Rule authors:

  • Elastic

Rule license: Elastic License v2

Investigation guide

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Framework: MITRE ATT&CKTM