An AI model named Claude Code generated a SQL view for a Supabase project that inadvertently created a security vulnerability. The view, intended for a dashboard, bypassed row-level security (RLS) because it ran with the privileges of the 'postgres' user, which bypasses RLS, rather than the user querying it. This allowed unauthorized access via the anonymous key, a common default in Supabase. The issue was resolved by adding `security_invoker = true` to the view creation, and a PreToolUse hook was developed to automatically detect and flag similar SQL statements before they are executed. AI
IMPACT Highlights potential security risks when AI models interact directly with databases and the need for pre-execution checks.
RANK_REASON The item describes a specific security vulnerability found in an AI model's output when interacting with a database tool, and a proposed solution using a hook.
Read on dev.to — Claude Code tag →
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