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

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

The symptom is usually obvious: the app works, but the Supabase keys are sitting in the client bundle, auth checks are weak or missing, and anyone who opens the app can hit data they should not see. In business terms, that means customer data exposure, support headaches, possible account takeover, and a launch that can get delayed by app store review or security concerns.

The most likely root cause is that the product was built fast in Lovable with Supabase defaults, then shipped without a proper auth boundary. The first thing I would inspect is the actual mobile build output and the Supabase project settings: which keys are public, which tables have Row Level Security on, and whether any screens call protected data before a session exists.

Triage in the First Hour

1. Check the mobile app build for hardcoded secrets.

• Search for `service_role`, private API keys, SMTP passwords, Stripe secret keys, and any Supabase URL or anon key usage that looks suspicious.
• Confirm whether anything sensitive is embedded in source, environment files, or generated client code.

2. Inspect Supabase Auth status.

• Verify whether email/password, magic link, social login, or anonymous auth is actually enabled.
• Check if users can reach protected screens before login.

3. Review Row Level Security on every table exposed to the app.

• Look at tables used by profile, messages, orders, bookings, uploads, or notifications.
• If RLS is off on user-facing tables, treat that as a release blocker.

4. Open the network logs from the app.

• Confirm which endpoints are being called from unauthenticated sessions.
• Look for direct table access patterns that bypass backend checks.

5. Check Supabase logs and recent activity.

• Review authentication logs, failed requests, unusual spikes, and new user creation patterns.
• Look for signs of scraping or repeated access from one IP range.

6. Inspect Lovable-generated screens and navigation flow.

• Find any "logged-in" pages reachable from public routes.
• Verify whether onboarding assumes a session exists when it does not.

7. Review build and deployment settings.

• Confirm environment variables are set per environment and not copied into the client bundle.
• Check whether preview builds share production credentials.

8. Audit connected services.

• Look at email provider keys, push notification keys, analytics tokens, and storage access policies.
• One exposed key often means three more are exposed too.

A quick diagnostic command I would run locally:

grep -RInE "service_role|supabase.*key|apikey|secret|private_key" .

If this returns anything inside client-facing code or committed config files, I would assume exposure until proven otherwise.

Root Causes

1. The app used a privileged key in the client.

• Confirmation: search code and environment files for `service_role` or any admin-level secret used in mobile code.
• Why it happens: AI-built apps often copy examples without separating public and server-only credentials.

2. Row Level Security was never enabled.

• Confirmation: check each table in Supabase; if users can query records without policies, RLS is missing or incomplete.
• Why it happens: developers test with open access first and forget to close it before shipping.

3. Auth exists but is not enforced in navigation or data fetching.

• Confirmation: unauthenticated users can still load protected screens or API calls return data before session validation completes.
• Why it happens: UI gating was added visually, but backend authorization was never enforced.

4. Policies are too broad.

• Confirmation: policies like "allow all authenticated users" exist on tables that should only show per-user rows.
• Why it happens: founders want speed; broad access feels easier until real user data arrives.

5. Environment separation is broken.

• Confirmation: dev preview builds point to production Supabase projects or share production secrets across environments.
• Why it happens: one project is simpler during prototyping but dangerous once real users exist.

6. Secrets were copied into generated app assets or docs.

• Confirmation: inspect generated bundles, config exports, screenshots of env panels, and README files for values that should never be public.
• Why it happens: AI tools do not know which values are safe unless you enforce boundaries.

The Fix Plan

I would fix this in a strict order so we do not make the leak worse while patching it.

1. Rotate every exposed secret immediately.

• Revoke any leaked API key first.
• Rotate Supabase service role keys if they were ever exposed anywhere outside server-only code.
• Rotate related third-party secrets too if they may have been copied together.

2. Separate public from private access paths.

• Keep only the Supabase anon key in the mobile client if needed for public auth flows.
• Move privileged operations behind server-side functions, edge functions, or a backend layer you control.

3. Turn on RLS everywhere user data exists.

• Enable RLS on all tables containing customer records or tenant-specific data.
• Write explicit policies per table instead of relying on broad defaults.

4. Lock each policy to user ownership or tenant membership.

• A user should only read their own rows unless there is a clear business reason otherwise.
• If there are teams or organizations, scope access by org ID plus membership checks.

5. Fix auth gating in both UI and backend logic.

• Do not rely on hidden buttons or screen redirects alone.
• Every protected fetch must fail safely when no valid session exists.

6. Remove any secret from Lovable-generated client code.

• Move env vars into proper deployment settings for each environment: local, preview, staging, production.
• Audit generated components after every AI-assisted change because these tools will happily repeat unsafe patterns.

7. Add an explicit unauthorized state in the mobile UX.

• Show login required screens rather than blank pages or broken loaders.
• Make error states clear so users do not think the product is down when they simply need to sign in.

8. Add basic monitoring before re-release.

• Set alerts for auth failures spikes, 401/403 rates, unexpected traffic increases, and unusual database reads at p95 above normal baselines.
• For mobile products with early traction, I want this visible within 15 minutes of an incident starting.

9. Rebuild and redeploy from clean credentials only after verification. That means fresh env vars locally and in your CI/CD pipeline before shipping again.

10. If needed now: Use Launch Ready to handle domain setup later? No -- for this issue I would use it to harden deployment around secrets handling once auth is fixed so you do not reintroduce risk during release prep.

Regression Tests Before Redeploy

I would not redeploy until these checks pass:

• Unauthenticated user cannot read protected records through the app UI or direct API calls with anon credentials alone.
• Authenticated user can only see their own profile/data rows unless shared access is intended and documented.
• Service role key never appears in client code, logs, screenshots, crash reports, or shipped bundles.
• All sensitive tables have RLS enabled with explicit policies tested against at least 3 cases:

1. owner access 2. other-user denial 3. anonymous denial

• Mobile login flow works on iOS and Android simulators with fresh sessions cleared first
• Logout fully removes access to protected screens after app restart
• Error states return clean messages instead of exposing raw stack traces
• Build artifacts contain no secrets when scanned
• CI blocks merges if RLS coverage drops below target

Acceptance criteria I would use:

• 100 percent of user-facing tables protected by RLS
• Zero privileged secrets present in client bundles
• No unauthenticated route can return private data
• Auth-related regression tests pass on every release branch
• p95 auth-related API latency stays under 300 ms during smoke testing

Prevention

If I were preventing this from happening again after launch:

• Enforce secret scanning in CI so commits with private keys fail fast before review merge
• Require code review on any auth policy change
• Keep separate projects for dev staging and production
• Use least privilege everywhere; if a key can read only one dataset then do not give it broader scope
• Add observability for auth events:
• sign-in success/failure counts
• policy denials
• unexpected table reads
• unusual traffic spikes
• Document every table policy next to its purpose so future AI edits do not break security by accident

I also recommend a UX guardrail: never show empty premium screens to logged-out users without explanation. That reduces support tickets because users understand they need to sign in instead of assuming the app is broken.

On performance side, keep auth checks cheap:

• cache session state carefully
• avoid repeated profile lookups on every screen load
• keep p95 startup latency under 2 seconds on mid-range phones

When to Use Launch Ready

Launch Ready fits when you need me to stop release risk fast without turning this into a long consulting engagement. More importantly here: production deployment hardening around secrets handling so your mobile app does not ship with exposed credentials again during final launch prep.

What I include:

• DNS setup where relevant to supporting services
• redirects and subdomains
• Cloudflare configuration
• SSL setup
• caching rules where appropriate
• DDoS protection basics
• SPF/DKIM/DMARC for email deliverability
• production deployment checks
• environment variables cleanup
• secrets handling review
• uptime monitoring setup
• handover checklist

What you should prepare before booking: 1. Supabase project access with admin rights limited to what I need for the sprint 2. Lovable project export or repo access 3. Current build links for iOS/Android preview if available 4. List of all external services connected to the app 5. Any existing auth flows or screenshots showing expected behavior

If your app already has real users or paid traffic live today, I would treat this as urgent because every extra day increases exposure risk and support cost.

Mermaid Diagram

References

1. Roadmap.sh API Security Best Practices https://roadmap.sh/api-security-best-practices

2. Roadmap.sh Cyber Security https://roadmap.sh/cyber-security

3. Supabase Row Level Security docs https://supabase.com/docs/guides/database/postgres/row-level-security

4. Supabase Auth docs https://supabase.com/docs/guides/auth

5. OWASP Cheat Sheet Series https://cheatsheetseries.owasp.org/

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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.*