Unusual Hour for a User to Logon
editUnusual Hour for a User to Logon
editA 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
Version: 1
Added (Elastic Stack release): 7.14.0
Rule authors: Elastic
Rule license: Elastic License v2
Potential false positives
editUsers working late, or logging in from unusual time zones while traveling, may trigger this rule.