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Spike in Failed Logon Events

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Spike in Failed Logon Events

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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:

https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html

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 positives

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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&CK^TM

Tactic:
- Name: Credential Access
- ID: TA0006
- Reference URL: https://attack.mitre.org/tactics/TA0006/
Technique:
- Name: Brute Force
- ID: T1110
- Reference URL: https://attack.mitre.org/techniques/T1110/

Rule version history

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Version 100 (8.5.0 release)

Formatting only

Version 3 (8.4.0 release)

Formatting only

Version 2 (7.15.0 release)

Formatting only

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