Azure Active Directory High Risk User Sign-in Heuristic

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Azure Active Directory High Risk User Sign-in Heuristic

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Identifies high risk Azure Active Directory (AD) sign-ins by leveraging Microsoft Identity Protection machine learning and heuristics.

Rule type: query

Rule indices:

  • filebeat-*
  • logs-azure*

Severity: medium

Risk score: 47

Runs every: 5m

Searches indices from: now-25m (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

  • Elastic
  • Cloud
  • Azure
  • Continuous Monitoring
  • SecOps
  • Identity and Access

Version: 1

Rule authors:

  • Austin Songer

Rule license: Elastic License v2

Investigation guide

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## Config

The Azure Fleet integration, Filebeat module, or similarly structured data is required to be compatible with this rule.

Rule query

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event.dataset:azure.signinlogs and
  azure.signinlogs.properties.risk_state:("confirmedCompromised" or "atRisk") and event.outcome:(success or Success)

Framework: MITRE ATT&CKTM