Individual skill
detecting-azure-lateral-movement
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.
internal/tools/skills/data/threat-hunting/detecting-azure-lateral-movement/SKILL.md
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- Last checked
- Nov 9, 2026
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- Nov 9, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- azure Declared skill tag
- entra-id Declared skill tag
- lateral-movement Declared skill tag
- sentinel Declared skill tag
- kql Declared skill tag
- graph-api Declared skill tag
- cloud-security Declared skill tag
- threat-hunting Declared skill tag
- security Derived category
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SKILL.mdcore · 4,433 bytes
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# 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
