detecting-azure-lateral-movement

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Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.

AI & Automation 12,642 stars 1468 forks Updated today Apache-2.0

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Skill Content

# Detecting Azure Lateral Movement ## Overview Lateral movement in Azure AD/Entra ID differs from on-premises environments. Attackers pivot through OAuth application consent grants, service principal abuse, cross-tenant access policies, and stolen refresh tokens rather than SMB/RDP connections. Detection requires correlating Microsoft Graph API audit logs, Azure AD sign-in logs, and Entra ID protection risk events using KQL queries in Microsoft Sentinel. This skill covers building detection analytics for common Azure lateral movement techniques including application impersonation, mailbox delegation abuse, and conditional access policy bypasses. ## When to Use - When investigating security incidents that require detecting azure lateral movement - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Azure subscription with Microsoft Sentinel workspace configured - Azure AD P2 or Entra ID P2 license for risk-based sign-in detection - Microsoft Graph API permissions: AuditLog.Read.All, Directory.Read.All, SecurityEvents.Read.All - Log Analytics workspace ingesting AuditLogs, SigninLogs, and AADServicePrincipalSignInLogs - Familiarity with KQL (Kusto Query Language) ## Steps ### Step 1: Configure Log Ingestion Enable diagnostic settings to stream Azure AD logs to Log Analytics: - Sign-in ...

Details

Author
mukul975
Repository
mukul975/Anthropic-Cybersecurity-Skills
Created
3 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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