django-access-review

To find IDOR vulnerabilities in a Django REST Framework API, analyze views and viewsets to trace authorization logic and data access patterns. This identifies endpoints where manipulating an object ID might expose another user's data.

Reviewing Django ORM queries for access control flaws involves tracing object permissions and tenant isolation logic within querysets. This ensures data retrieval is strictly scoped to the authorized user.

Authorization model analysis works by mapping how permissions are implemented across Django views and DRF viewsets. It traces code flows to pinpoint gaps in access control logic and locate sensitive endpoints.

Yes, you can check tenant isolation in your Django application by analyzing Python code related to user authorization. It traces data access patterns to ensure multi-tenant boundaries are enforced across ORM queries.

To map the attack surface of a Django REST Framework codebase, identify endpoints and resources that handle sensitive user data. This highlights areas where insecure direct object references or permission gaps could be exploited.

When tracing access control logic in Django views, limitations arise if authorization is enforced dynamically outside standard ORM queries or viewsets. Complex, scattered permission checks may obscure data access patterns and hinder vulnerability tracing.