How I Would Fix exposed API keys and missing auth in a Supabase and Edge Functions mobile app Using Launch Ready.

How I Would Fix exposed API keys and missing auth in a Supabase and Edge Functions mobile app Using Launch Ready

The symptom is usually blunt: the app works, but anyone can call your Edge Functions, read or write data they should not see, or copy an API key from the mobile bundle and reuse it outside the app. In business terms, that means exposed customer data, fake signups, broken trust, and a support fire drill after launch.

The most likely root cause is that the app shipped with public-facing credentials in places they should never be, plus weak or missing authorization checks on Supabase tables or Edge Functions. The first thing I would inspect is the actual request path: mobile client, Supabase auth state, RLS policies, and every Edge Function entry point that touches sensitive data.

Triage in the First Hour

1. Check the mobile build for embedded secrets.

• Search the repo for service role keys, private tokens, hardcoded URLs, and any `.env` values copied into client code.
• Inspect the built APK/IPA or JS bundle if the app is already shipped.

2. Review Supabase Auth settings.

• Confirm whether email/password, magic link, OAuth, or anonymous access is enabled.
• Check if sessions are being created correctly and whether users are actually signed in before protected actions.

3. Audit Row Level Security on every table.

• List tables with RLS disabled.
• Review policies for `select`, `insert`, `update`, and `delete`.
• Confirm there are no broad policies like "allow all authenticated" on sensitive tables.

4. Inspect Edge Function logs.

• Look for requests without a valid JWT.
• Identify functions returning data to unauthenticated callers.
• Check whether secrets are being logged by mistake.

5. Review deployment dashboards and environment variables.

• Confirm production secrets exist only in server-side environments.
• Verify staging and production are separated.
• Check if any function was deployed with test keys or placeholder values.

6. Inspect recent builds and releases.

• Find the last version where auth was working or where data exposure started.
• Compare commit history for changes to auth middleware, policy files, or function routes.

7. Check monitoring alerts and error spikes.

• Look for unusual traffic volume, 401/403 rates, 5xx errors, or repeated calls from unknown IPs.

A quick diagnostic command I would run early:

supabase db diff --schema public

That helps me spot policy drift and accidental schema changes before I touch production again.

Root Causes

| Likely cause | What it looks like | How I confirm it | |---|---|---| | Service role key shipped to mobile | App can bypass rules or call privileged endpoints | Search source and built artifacts for `service_role`, private env values, or admin credentials | | RLS disabled on one or more tables | Data readable/writable without user ownership checks | Query Supabase table settings and test access as anon vs authenticated user | | Edge Functions missing JWT verification | Function responds to unauthenticated requests | Inspect function code for auth guard and test with no token | | Overbroad RLS policy | Any signed-in user can see all rows | Review policy SQL for weak conditions like `auth.uid() IS NOT NULL` only | | Misused anon key assumptions | Founder thinks anon key is secret when it is public | Confirm whether sensitive logic depends on anon key instead of server-side authorization | | Stale environment variables in deployment | Old secrets still active after rotation | Compare local `.env`, production vars, and secret manager values |

The biggest mistake I see is founders treating "public" Supabase keys as harmless while also skipping authorization checks. The anon key is meant to be public; your data access rules are not.

The Fix Plan

1. Stop the bleeding first.

• Rotate any exposed secret immediately.
• Revoke compromised service role keys, third-party tokens, webhook secrets, and any admin credentials found in client code.
• If there is active abuse risk, temporarily disable the affected Edge Functions or set them behind a maintenance response.

2. Separate public config from private secrets.

• Keep only safe public values in the mobile app.
• Move anything privileged into Edge Functions or backend-only environments.
• Never put service role keys inside a mobile bundle.

3. Lock down all tables with RLS.

• Enable RLS on every table that stores user data or internal records.
• Write policies based on ownership or explicit roles, not just "authenticated".
• Test each policy against anonymous access and another user's account.

4. Add authentication checks at every function boundary.

• Every Edge Function that reads or writes protected data should verify the bearer token before doing anything else.
• Reject requests early with clear 401 or 403 responses.
• Do not trust user IDs passed from the client unless they match the verified session identity.

5. Reduce privilege inside functions.

• Use the minimum required secret scope per function.
• If a function only needs read access to one table, do not give it broad admin rights unless there is no safer option.
• Keep service role usage isolated to a small number of audited functions.

6. Fix session handling in the mobile app.

• Confirm login state survives app restarts correctly.
• Ensure protected screens wait for auth resolution before calling APIs.
• Prevent anonymous users from reaching screens that trigger privileged calls.

7. Add defensive logging without leaking secrets.

• Log request IDs, auth status, route names, and error codes.
• Do not log JWTs, raw headers, passwords, refresh tokens, or full payloads with personal data.

8. Redeploy in stages.

• Push fixes to staging first with real auth flows tested end-to-end.
• Validate production behavior with one test account before full release.
• Keep rollback ready if any critical flow breaks.

My preferred path is simple: fix authorization at the database layer first with RLS, then add function-level auth guards second. That gives you two barriers instead of one brittle check in app code that can be bypassed by a direct request.

Regression Tests Before Redeploy

Before I ship this again, I want proof that unauthorized access fails cleanly and legitimate users still work.

• Anonymous user cannot read protected rows.
• User A cannot read User B's records.
• User A cannot update User B's records.
• Unauthenticated request to each protected Edge Function returns 401 or 403 within 200 ms p95 in staging.
• Authenticated request succeeds only when token is valid and unexpired.
• Rotated secrets are no longer present in repo history or deployment envs used by production builds.
• Mobile app still completes signup, login, logout, password reset if applicable, and core data sync flows without extra friction.
• Error states show useful UI feedback instead of silent failure or infinite loading spinners.

Acceptance criteria I would use:

• 0 exposed service role keys in client code or bundled assets
• 100 percent of sensitive tables covered by RLS
• 100 percent of protected Edge Functions rejecting unauthenticated requests
• No critical security findings in staging smoke test
• No increase in login failure rate after deploy
• Support ticket volume stays flat for 48 hours after release

I would also run one manual exploratory pass on iOS and Android because mobile apps often hide auth bugs behind cached sessions or stale tokens that automated tests miss.

Prevention

The best prevention is boring discipline applied every release.

• Code review guardrails:
• Never approve client-side secret usage unless it is truly public by design.
• Require RLS changes to include test cases and example queries.
• Review every new Edge Function for auth verification before merge.

• Security guardrails:
• Rotate secrets on a schedule and immediately after exposure suspicion.
• Use least privilege everywhere possible.
• Keep production logs free of tokens and personal data.

• Monitoring guardrails:
• Alert on spikes in unauthenticated requests to functions.
• Alert on repeated 401s from one IP range or device pattern if abuse appears likely.
• Watch Supabase audit logs for unusual reads on sensitive tables.

• UX guardrails:
• Show clear login-required states instead of letting users hit dead ends after tapping protected actions.
• Disable buttons until auth state loads so users do not trigger broken requests repeatedly.

• Performance guardrails:
• Keep auth checks fast so they do not add noticeable delay to screen transitions.
• Aim for protected API p95 latency under 300 ms in normal load so security does not feel like slowdown.

Here is how I think about it operationally:

If you skip step B or C because you are rushing launch day, you usually pay later with cleaner-looking but still unsafe code. I would rather ship one day later than ship a product that leaks customer data through a direct request path.

When to Use Launch Ready

Use Launch Ready when you need this fixed fast without turning your team into part-time security engineers.

This sprint fits best when:

• Your mobile app already exists but has unsafe auth behavior
• You have exposed keys in source control or builds
• You need Supabase access rules repaired before more users sign up
• You want a clean handoff instead of another patchy hotfix

What you should prepare:

• Repo access
• Supabase project access
• Current build links for iOS/Android
• List of environments: dev/staging/prod
• Any known leaked keys already rotated
• A short list of protected actions: read profile, update profile, create order, send message

I recommend using Launch Ready when launch risk is higher than feature risk. If your main problem is "the app works but could expose data," then this sprint pays back immediately by reducing breach risk, support load, failed reviews from broken flows tied to auth issues if applicable elsewhere in the stack, and wasted ad spend sending traffic into an unsafe funnel.

References

• https://roadmap.sh/cyber-security
• https://roadmap.sh/api-security-best-practices
• https://roadmap.sh/code-review-best-practices
• https://supabase.com/docs/guides/database/postgres/row-level-security
• https://supabase.com/docs/guides/functions/authentication

---

Take the next step

If this is a problem in your product right now, here is what to do next:

• [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.

• [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*