Unusual Hour for a User to Logonedit
A machine learning job detected a user logging in at a time of day that is unusual for the user. This can be due to credentialed access via a compromised account when the user and the threat actor are in different time zones. In addition, unauthorized user activity often takes place during non-business hours.
Rule type: machine_learning
Machine learning job: auth_rare_hour_for_a_user
Machine learning anomaly threshold: 75
Severity: low
Risk score: 21
Runs every: 15 minutes
Searches indices from: now-30m (Date Math format, see also Additional look-back time)
Maximum alerts per execution: 100
References:
Tags:
- Elastic
- Authentication
- Threat Detection
- ML
- Initial Access
Version: 2 (version history)
Added (Elastic Stack release): 7.14.0
Last modified (Elastic Stack release): 8.4.0
Rule authors: Elastic
Rule license: Elastic License v2
Potential false positivesedit
Users working late, or logging in from unusual time zones while traveling, may trigger this rule. ==== Threat mapping
Framework: MITRE ATT&CKTM
-
Tactic:
- Name: Initial Access
- ID: TA0001
- Reference URL: https://attack.mitre.org/tactics/TA0001/
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Technique:
- Name: Valid Accounts
- ID: T1078
- Reference URL: https://attack.mitre.org/techniques/T1078/
Rule version historyedit
- Version 2 (8.4.0 release)
-
- Formatting only