Use case

AI app security check for fast builders

AI builders ship quickly. GetLeaked checks the launch-risk mistakes that can hide in generated apps: exposed keys, direct AI calls, missing auth gates, and misconfiguration signals.

What GetLeaked checks for AI-built apps

  • API keys exposed in client bundles, loaded source maps, or public page responses.
  • Direct browser calls to AI providers that can create spend abuse.
  • Open AI routes without obvious auth or rate-limit signals.
  • Supabase and Firebase exposure patterns that deserve review.

Why this matters before launch

Generated apps can look finished while still exposing secrets or spend-risk endpoints. GetLeaked gives you a plain-English report before you post the link publicly.

Supported builder paths

Lovable and Bolt.new apps

Check deployed web apps for public client-bundle exposure and common no-code launch risks.

Cursor, v0, and Replit builds

Review Next.js/React app patterns before the first public traffic spike.

Supabase and Firebase backends

Surface signs that auth, RLS, or client configuration deserve immediate attention.

Common questions

Do I need a security background?

No. The report is written for builders and includes evidence plus specific fixes.

Can GetLeaked scan private repos?

Not in the current public flow. The current scan accepts public URLs; any future repository review will require an explicit repo input and handling terms.

Is this a penetration test?

No. It is a static launch-risk scan, not a full penetration test.

Check before you ship

GetLeaked scans public URLs for launch-risk signals. It is static analysis, not a full penetration test.

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