How to Secure a Lovable App: 12 Checks Before Launch
Published Oct 22, 2026 · 8 min read
Contents
Short answer: A Lovable app is secure when every database table filters what each user can read and change, when no secret key ever reaches the browser, and when sensitive operations run on the server. The 12 checks below, done in order, cover most of the data leaks seen in AI-built apps before you publish.
Why do Lovable apps leak data?
A Lovable app talks to its Supabase database with a public key that is visible in the browser. That is normal: this key is designed to be seen. What actually protects your data are the access rules the database applies to every request, known as Row Level Security (RLS). When those rules are missing or too broad, anyone who copies the public key can read the table.
Nothing about this is specific to Lovable. It is how browser-based apps on Supabase work. The risk comes from the fact that AI tools build fast and do not always add the rules unless you ask for them.
Are Lovable apps safe? What the numbers say
Several primary sources have measured the problem:
- 170 of 1,645 Lovable projects had insufficient access rules (Matt Palmer, statement on CVE-2025-48757, May 29, 2025).
- More than 2,000 high-impact vulnerabilities were found across more than 5,600 public apps built with vibe coding platforms (Escape, methodology and results, October 29, 2025).
- More than 2,000 of about 5,000 publicly accessible enterprise apps built on vibe coding platforms exposed sensitive data (Red Access, Shadow AI Builders report, 2026).
- Nearly 44% of AI-generated code fails security tests when no security instruction is given (Veracode, 2026 GenAI Code Security Report, July 28, 2026).
- 37.6% more critical vulnerabilities appeared after five rounds of AI-driven fixes (Shukla, Joshi and Syed, IEEE-ISTAS 2025).
These numbers do not say Lovable is dangerous. They say an AI-generated app is not secure by default. You have to ask for security explicitly, then verify it.
How do you secure a Lovable app? The 12 checks
Work through the checks in this order. The first five prevent the most serious leaks.
- Turn on access rules for every table. Each table needs RLS enabled and one rule per operation (read, create, update, delete). Ask Lovable, in Plan mode, for a list of tables with the state of their rules, then confirm it in the Supabase dashboard. Our guide Supabase RLS explained shows how the rules work.
- Test by role. Create at least two accounts per role and check that one user can neither see nor change another user's data, including by pasting the URL of a page that belongs to someone else.
- Keep every secret key out of the browser. The Supabase service role key and the secret keys for Stripe or your email provider must only live in the secrets of your server functions. Search for their prefixes in the code, on GitHub and in the browser's developer tools.
- Run sensitive operations on the server. Prices, permissions, bulk emails and calls to paid services go through a server function that verifies who is calling and what they are allowed to do.
- Verify payment webhooks. Paid access opens only when Stripe confirms the payment through a signed webhook, never because a user reached the thank-you page.
- Complete the authentication setup. Keep email confirmation on, limit redirects to your own URLs, delete test accounts before launch, and turn off open sign-up if the app is invitation only.
- Make files private with expiring links. User documents go into private storage, with access rules and signed links that expire.
- Validate in the database. Required fields, lengths and allowed values are enforced by database constraints, not only by the form.
- Protect personal data. Collect only what you need, set retention periods, and publish a privacy policy that matches the laws you are subject to, such as the GDPR in the European Union or the FADP in Switzerland.
- Test your backups. Check what your Supabase plan covers, back up stored files as well, and restore once on a test project. As of October 2026, the Supabase Free plan includes no automatic backups and the Pro plan includes daily backups kept for 7 days (Supabase pricing).
- Know where your logs are. Learn where to read API, authentication and function logs, and review them after each release.
- Clear the automated checks. Run Lovable's security scan and the Supabase Security Advisor, fix every critical alert and rerun until none remain. Finally, confirm HTTPS on your domain and email authentication (SPF, DKIM, DMARC).
The checklist at a glance
| # | Check | Minimum test |
|---|---|---|
| 1 | RLS on every table | List of tables and their rules |
| 2 | Tests by role | Two accounts per role, cross access refused |
| 3 | No secret key in the browser | Prefix search in code, GitHub and browser |
| 4 | Sensitive operations server side | No price or permission computed in the interface |
| 5 | Verified webhooks | An unsigned call is rejected |
| 6 | Complete authentication | Limited redirects, test accounts removed |
| 7 | Private files | An expired link no longer opens |
| 8 | Database validation | A forbidden value is rejected outside the form |
| 9 | Data protection | Policy published, retention periods set |
| 10 | Tested backup | Successful restore on a test project |
| 11 | Logs | You know where to read errors |
| 12 | Automated checks | Zero critical alerts, HTTPS and email authenticated |
How do you build a test matrix?
For an app where clients upload documents and staff process them, such as our fictional demo app Dossiers Clair, the matrix fits in about ten rows. Reading client A's files: yes for client A, the staff member assigned to them and the admin. No for client B, another staff member and an anonymous visitor. Deleting a file: no for everyone, since files are archived.
The "no" cells matter most. A test that only checks what should work proves nothing about security.
What do automated scanners miss?
Scanners spot a table without rules or a function that is too exposed. They do not know that a staff member should only see their own clients. A rule can be technically valid and still wrong for your business. That is why per-role tests and a careful review of your business rules come before launch.
We have seen this on our own platform: the Supabase advisor flagged a role-checking function that any signed-in user could call. The fix took one migration. Not knowing would have left an information leak in place.
What should you do after a critical alert?
- Do not publish, or unpublish if the app is already live.
- Fix the issue with a migration. Never disable a rule just to make a screen display again.
- If a secret key was exposed, rotate it immediately with the provider.
- Rerun the automated checks and replay your per-role tests.
If repeated AI fixes are making things worse, stop after the second failed attempt. Our Anti-Loop Pack gives a procedure for breaking the loop without degrading your code.
FAQ
Are Lovable apps safe?
They can be, if the access rules are verified. According to Matt Palmer's statement on CVE-2025-48757 (May 29, 2025), 170 of 1,645 Lovable projects had insufficient access rules. The tool provides useful checks, but security depends mostly on your rules, your secrets and your tests.
Is the Supabase public key a problem?
No. It is designed to be visible. The problem is a table without access rules, which that key can then read.
Should you hire an external security reviewer?
For an app that handles real customers' personal data, a second pair of eyes is worth it before the first launch and after major changes. It does not replace your own tests. It checks what you did not think to test, especially business rules.
What should you check before every new release?
At minimum: rerun both automated checks, replay the "no" cells of your test matrix, and search for secret keys if server code changed. Ten minutes is enough when the matrix is up to date.
How long do these checks take?
Plan on about two hours for a small app the first time, then a few minutes before each release. The Security Module covers all 12 checks in depth in seven lessons, and our free self-assessment tools show where your project stands.
Sources
- Matt Palmer, statement on CVE-2025-48757, May 29, 2025.
- Escape, methodology and results, October 29, 2025.
- Red Access, Shadow AI Builders security report, 2026.
- Veracode, 2026 GenAI Code Security Report, July 28, 2026.
- Shukla, Joshi and Syed, IEEE-ISTAS 2025 (arXiv 2506.11022).
- Supabase pricing, Supabase documentation and Lovable documentation.
All sources accessed October 22, 2026. Last updated: October 22, 2026.
Want to ship an app that passes all 12 checks? See the Production Program.