IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Potential Data Exfiltration Activity to an Unusual Destination Port
editPotential Data Exfiltration Activity to an Unusual Destination Port
editA machine learning job has detected data exfiltration to a particular destination port. Data transfer patterns that are outside the normal traffic patterns of an organization could indicate exfiltration over command and control channels.
Rule type: machine_learning
Rule indices: None
Severity: low
Risk score: 21
Runs every: 15m
Searches indices from: now-6h (Date Math format, see also Additional look-back time
)
Maximum alerts per execution: 100
References:
Tags:
- Use Case: Data Exfiltration Detection
- Rule Type: ML
- Rule Type: Machine Learning
- Tactic: Exfiltration
Version: 1
Rule authors:
- Elastic
Rule license: Elastic License v2
Investigation guide
editFramework: MITRE ATT&CKTM
-
Tactic:
- Name: Exfiltration
- ID: TA0010
- Reference URL: https://attack.mitre.org/tactics/TA0010/
-
Technique:
- Name: Exfiltration Over C2 Channel
- ID: T1041
- Reference URL: https://attack.mitre.org/techniques/T1041/