hunt-idor

To test for broken object level authorization and IDOR, you need to systematically enumerate client-supplied identifiers like numeric IDs, UUIDs, and tokens, then attempt horizontal and vertical access using a second account. This validates whether the API properly enforces authorization across different user contexts.

Finding IDOR in a multi-tenant SaaS application requires cross-tenant ID override checks via headers, query parameters, or path segments. You must test parameter manipulation and cross-tenant context switching to confirm if Account A can access or modify Account B’s data without proper authorization.

Yes, you can detect IDOR in GraphQL APIs by enumerating GraphQL node IDs and probing batching or alias manipulation. Testing horizontal and vertical escalation across these object references confirms whether the API securely authorizes client-supplied GraphQL identifiers.

Validating IDOR flaws requires a checklist confirming two-account proof and persistence for write cases. You must document clear impact quantification and evidence-backed confirmation showing horizontal or vertical escalation to accurately report the broken object level authorization weakness.

IDOR testing works across HTTP methods and mass-assignment endpoints by probing parameter manipulation and wildcard routes. Method tampering scenarios verify if unauthorized modifications persist, ensuring both read and write operations are properly secured against horizontal and vertical escalation.

Object identifiers vulnerable to insecure direct object reference attacks include numeric IDs, UUIDs, usernames, emails, file paths, document keys, and reset or invitation tokens. APIs often trust these client-provided references without enforcing proper authorization checks.