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High Variance in RDP Session Duration

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High Variance in RDP Session Duration

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A machine learning job has detected unusually high variance of RDP session duration. Long RDP sessions can be used to evade detection mechanisms via session persistence, and might be used to perform tasks such as lateral movement, that might require uninterrupted access to a compromised machine.

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: 2

Rule authors:

Elastic

Rule license: Elastic License v2

Framework: MITRE ATT&CK^TM

Tactic:
- Name: Lateral Movement
- ID: TA0008
- Reference URL: https://attack.mitre.org/tactics/TA0008/
Technique:
- Name: Exploitation of Remote Services
- ID: T1210
- Reference URL: https://attack.mitre.org/techniques/T1210/

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