Spike in Failed Logon Eventsedit
A machine learning job found an unusually large spike in authentication failure events. This can be due to password spraying, user enumeration or brute force activity and may be a precursor to account takeover or credentialed access.
Rule type: machine_learning
Machine learning job: auth_high_count_logon_fails
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
- Credential Access
Version: 100 (version history)
Added (Elastic Stack release): 7.14.0
Last modified (Elastic Stack release): 8.5.0
Rule authors: Elastic
Rule license: Elastic License v2
Potential false positivesedit
A misconfigured service account can trigger this alert. A password change on an account used by an email client can trigger this alert. Security test cycles that include brute force or password spraying activities may trigger this alert. ==== Threat mapping
Framework: MITRE ATT&CKTM
-
Tactic:
- Name: Credential Access
- ID: TA0006
- Reference URL: https://attack.mitre.org/tactics/TA0006/
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Technique:
- Name: Brute Force
- ID: T1110
- Reference URL: https://attack.mitre.org/techniques/T1110/
Rule version historyedit
- Version 100 (8.5.0 release)
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- Formatting only
- Version 3 (8.4.0 release)
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- Formatting only
- Version 2 (7.15.0 release)
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- Formatting only