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Sample report
This is the shape of the written report you get at the end of an audit: a summary you can read in two minutes, every issue ranked by risk, what each one means for your business, how I would fix it, and a straight call on rescue or rebuild.
A subscription web app built with an AI builder. React frontend, Supabase for the database and logins, Stripe for payments, hosted on Vercel. One repository, a few paying users, about to start marketing.
The app works and the core idea is sound, but it is not safe to grow yet. Two problems put customer data at risk today: a secret database key is visible in the browser, and several tables have no rules about who can read them. Either one could let a stranger download every customer record.
Payments also need attention. The app trusts any message that claims to come from Stripe, so someone could mark an account as paid without paying.
None of this needs a rebuild. Fix the two critical issues this week, the payment and access issues next, and the app is in good shape to market.
Every finding, highest risk first. In a real report each line also carries a fixed price to fix.
Data or money at risk right now. Fix before anything else.
Likely to hurt users or revenue soon. Fix in the first round.
A real problem that will bite as you grow. Plan it in.
Worth tidying when convenient. No urgent risk.
| # | Finding | Area | Risk | Effort |
|---|---|---|---|---|
| F1 | Secret database key shipped to the browser | Secrets | Critical | Small |
| F2 | Customer tables with no row-level security | Data access | Critical | Medium |
| F3 | Payment confirmations are not verified | Payments | High | Small |
| F4 | Admin pages only hidden, not protected | Access control | High | Small |
| F5 | No rate limiting on sign-up, login or paid API calls | Abuse and cost | High | Small |
| F6 | No error tracking | Reliability | Medium | Small |
| F7 | Backups never tested | Reliability | Medium | Small |
| F8 | Leftover code from earlier versions | Maintainability | Low | Small |
What it means for you: The key that skips every access rule is inside the code your visitors download. Anyone who opens developer tools can copy it and read, change or delete all of your data.
How I would fix it: Rotate the key today, move it to server-only code, and give the browser only the public key that respects your access rules.
What it means for you: Any logged-in user can read other customers' profiles and orders by changing one value in a request. The app's screens hide this, so it never shows up in normal testing.
How I would fix it: Turn on row-level security for every table, write rules so people only see their own rows, then test each rule with two separate accounts.
What it means for you: The endpoint that marks an account as paid accepts any request, not only real ones from Stripe. Someone who finds it can unlock paid features for free.
How I would fix it: Check Stripe's signature on every incoming payment event and ignore anything that fails, then replay real test events to confirm.
What it means for you: Admin links are hidden from normal users, but the admin actions behind them still work for anyone who calls them directly.
How I would fix it: Check the user's role on the server for every admin action, not just in the menu.
What it means for you: A script can try thousands of passwords, create fake accounts, or hammer the endpoint that calls a paid third-party API and run up the bill overnight.
How I would fix it: Add per-user and per-IP limits on sensitive routes, plus a monthly spend cap on paid APIs.
What it means for you: When something breaks for a customer, nobody finds out until they email. Failed sign-ups and checkouts disappear without a trace.
How I would fix it: Add error tracking with alerts for the money paths (sign-up, checkout, renewal), so you hear about failures before customers do.
What it means for you: Backups are switched on, but nobody has tried restoring one. If data is deleted by mistake, there is no proof you can get it back.
How I would fix it: Confirm the backup schedule, do one test restore into a separate project, and write down the steps.
What it means for you: Unused pages and packages from earlier attempts make the code harder to change and give the AI tool more wrong examples to copy.
How I would fix it: Remove dead files and unused packages once the higher-risk fixes are in.
Verdict: Rescue
The structure is reasonable, the data model fits the product, and every issue above can be fixed in place. Rebuilding would cost more, take longer and throw away features that already work for paying users.
A report recommends a rebuild instead when the data model is wrong at its core, fixes would touch most of the code anyway, or the app has to move to a stack the current code can't follow. If that's the case, the report says so and explains why.
A written report like this one in 3 working days, a fixed quote for every fix, and a straight answer on whether to rescue or rebuild.
Full refund if the audit finds nothing ranked medium risk or higher