detecting-oauth-token-theft

To detect OAuth token theft in Azure AD, you analyze Entra ID sign-in logs for impossible travel, token replay across IPs, and new-device sign-ins. This skill processes those logs to identify anomalous access patterns and outputs structured security alerts.

OAuth token replay detection identifies when stolen session tokens are reused from unauthorized locations. It works by monitoring cloud sign-in logs for impossible travel events and matching token usage across disparate IP addresses to flag suspicious activity.

Yes, you can analyze Azure AD sign-in logs to monitor OAuth scope requests for potentially dangerous permission grants. This skill flags unusual consent patterns and broad scope requests to prevent unauthorized privilege escalation.

Yes, this detection approach supports Entra ID CAE events and token protection logs. It analyzes bound-device failures and token misuse patterns within incident-response workflows to generate structured security alerts.

Detecting token replay via sign-in logs is limited by log retention policies and latency in CAE event processing. It requires exported Entra ID log data and may miss highly sophisticated token misuse patterns that mimic legitimate user behavior.