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Lovable Deep Scan vs a manual check: what the scan finds and what it can't see

By Novruz Veliev, Senior QA Engineer · ShipClarity · Published 5 October 2026

Lovable now ships with its own security scanner. A quick scan runs on every publish, and a Deep scan reviews your whole codebase when you ask for it. Founders often ask me whether that makes a manual check pointless. Short answer: run the scan first, it's free and it's good. Then look at the list below of what it was never built to see.

Everything I say about Lovable's feature here comes from its own documentation and blog, as of October 2026. Lovable changes fast, so if a detail below looks out of date, the docs win.

1What Lovable's scans are

There are two built-in scans. Both are free to run and don't use credits.

The Quick scan runs by itself every time you publish and takes about 10 to 15 seconds. It reads your database access rules and settings, including Row Level Security, and checks your npm packages against known vulnerabilities. Only packages rated critical become findings.

The Deep scan does not run by itself. You start it from the security view, and it takes a few minutes. It is an AI review of all your application code. Lovable's docs list what it looks at: access control and authorization, unauthenticated endpoints, unsafe input and injection, leaked secrets, payments and billing, authentication and account security, and exposed personal data. Lovable suggests running it before a public launch, when you handle sensitive data, or after big changes.

Findings come in three levels: Critical, Warning and Info. Some findings can be fixed with one click. Deep scan findings are not auto-fixed, so you fix those yourself or ask Lovable in chat, which costs credits.

2What the scan is good at

Credit where it's due. A table with RLS switched off, a policy that lets anyone read everything, a secret key pasted into frontend code, a package with a known critical hole: these are exactly the mistakes AI builders make, and the scan catches them in seconds. It also never gets tired. It reads every file, every time.

The Deep scan goes further than most founders expect. It reads your code with your app in mind, so it can flag an Edge Function that anyone can call without logging in, or a price that comes from the browser and could be changed by the buyer. A human reviewer reading the same code would need hours to do that.

If you have never run it, stop here and run it. Fix what it flags. Paying anyone to find what a free tool finds in four minutes is a waste of money.

3Why it can't see some problems

Both built-in scans read. They read code, database rules and package lists. Lovable's docs describe them as static analysis. They don't open your live app, sign up, wait for an email, or log in as anybody.

That matters, because a lot of launch bugs don't live in the code at all. They live in the email provider's settings, in the Stripe dashboard, in a redirect URL saved in Supabase, in what your pricing page promises. Code can look right and the app can still fail when a real person uses it.

To be fair, Lovable also lists optional third-party connectors, including an AI penetration test that sends requests to your running app and tries to break authentication and API flows. That is closer to testing, and worth a look for apps with sensitive data. It is still a security tool. It doesn't ask whether a customer can get through your product.

4Seven things only a person with accounts finds

The sign-up email that never arrives

The code calls the email function correctly. The scan is happy. Meanwhile the sending domain isn't verified, or the default sender has hit its limit, and new users sit waiting for a confirmation link. You only see it by signing up with a fresh inbox and waiting. More on this in why Lovable reset emails don't arrive.

The password reset that leads nowhere

Even when the reset email does arrive, the link often opens an old preview address or a page that doesn't handle the token. The user clicks, sees an error, and gives up. Nothing about this is a security flaw, so no security scan will report it. It still loses you customers.

One user seeing another user's data

The scan checks that RLS policies exist and aren't wide open. It can't tell you whether the policy matches what you meant. A policy can be valid and still let a team member see every team, or let a user read rows through a view nobody thought about. The way to know is practical: two accounts, one creates data, the other tries to reach it through the screens, the URL and the API. The do-it-yourself version is in Supabase RLS and the anon key.

Test keys on the live site

The Deep scan reviews payment logic in your code. It doesn't see which Stripe mode your live site actually runs in, whether the live webhook exists, or whether the price IDs in your secrets belong to test mode. Those settings live in dashboards, outside the codebase. The 15-minute check is in Stripe test mode vs live mode.

The pricing page that disagrees with the terms

Your pricing page says "cancel anytime" and the terms say annual plans aren't refundable. The plan card says 5 projects and the app stops you at 3. This is a mismatch between words on two pages and behaviour in a third, and it only shows up when someone reads them side by side and then tries the limit.

The layout on a real phone

A button hidden under the keyboard, a modal you can't close on a small screen, a table that scrolls the whole page sideways. Code review can't predict how Safari on an iPhone renders your page. Someone has to hold the phone.

Broken paths through the app

A link to a page that was renamed two prompts ago. A Back button that drops you on a blank screen. An onboarding step that only works if you click in the expected order. Each piece of code is fine on its own. The path between them is broken, and a path only exists when someone walks it.

5The order that makes sense

Run the Quick scan on every publish. It happens anyway, so read what it says instead of clicking past it. Run the Deep scan before launch and after big changes, and fix what it flags.

Then spend an hour as your own first customer. Use a new email address. Sign up, reset the password, pay, and try to open data that belongs to a second account. Do it once on your phone. You'll find some of the gaps above yourself, and that hour is worth more than any tool.

For a sense of what shows up from the outside alone, I scanned 190 live Lovable apps without logging in. Behind the login there is more, and that part needs accounts.