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Testing Supabase RLS exposures involves validating policy enforcement across REST and GraphQL interfaces using filter bypass, GraphQL bypass, and relationship traversal techniques to uncover misconfigured access control and document data exposure vectors.

A Row Level Security exposure in Supabase occurs when misconfigured RLS policies allow unintended data access across REST and GraphQL interfaces. It is detected by exhaustively testing filter bypass, relationship traversal, and real-time channel vectors.

To check for RLS filter bypass and GraphQL bypass in Supabase, evaluate all discovered tables by applying adaptive testing techniques across REST and GraphQL interfaces to validate policy coverage and reveal data exposure vectors.

Yes, this RLS testing method adapts to schemas discovered in FASE 2. It evaluates all discovered tables within those schemas by applying cross-method coverage across REST, GraphQL, and real-time channels to validate data exposure vectors.

The best way to document Supabase RLS vulnerabilities is producing structured results detailing tested tables, vulnerabilities found, and recommended mitigations. This structured output provides security teams with actionable data for remediation.

Your Supabase RLS policy may expose data through relationship traversal due to incomplete policy coverage. Applying relationship traversal techniques across REST and GraphQL interfaces reveals these unintended data exposure vectors for targeted remediation.