“Is Lovable safe” is actually three separate questions, asked as if they were one: whether the company behind it is safe to trust with your work, whether the app it generates for you is safe by default, and whether the specific project you built got caught in an incident you haven’t heard about yet. Keep them apart and each has an honest answer of its own. The platform holds real, independently checked attestation. The app it generates for you carries no such guarantee, and the gap is measurable. The incident question depends entirely on which incident and which window you mean.
Auditing AI-built apps is my day job, 26 of them so far across the AxonBuild corpus, and Lovable shows up in that dataset more than any other single tool. This is what the numbers say when you keep the three questions separate instead of letting one stand in for all of them.
Is Lovable secure? What the platform actually locks down
Yes, at the layer a platform controls. Lovable security at that level carries a real, third-party stamp: the company became SOC 2 Type 2 compliant effective August 13, 2025, alongside SOC 2 Type 1 attestation and ISO 27001:2022 certification, attestation about how it handles its own infrastructure, access, and incident response, checked by an outside auditor rather than asserted on a landing page.
The platform also runs a check at the moment you publish, though it’s narrower than it sounds. Opening the publish dialog triggers what Lovable’s own documentation calls the basic security scan: RLS policy linting, a database schema review, and a check for known dependency vulnerabilities. Exposed secrets and hardcoded API keys sit in a separate, deeper scan that doesn’t run automatically, so a clean publish tells you less than it sounds like it does about what shipped in your bundle. The same docs page states its own limits plainly: “These tools help identify common security issues, but they cannot guarantee complete security.” A separate paragraph on the same page assigns the remainder of the job, stating that you are “responsible for ensuring that your app meets the security requirements appropriate for its use case, especially if it handles sensitive data or performs critical functions.”
That’s an accurate scope statement. A publish-time scanner can confirm a protection exists. Whether it’s the right protection, wired to the right table, checking the right thing, is a separate question the scanner was never built to answer, and it’s the question the rest of this post covers.
The three failures that actually ship in Lovable apps
Lovable sits on top of Supabase for most real apps, so “Row Level Security” is really a Postgres question, inherited by every app Lovable generates rather than built by Lovable itself. Whether it’s set up right on your tables is the single biggest swing factor in whether your app is safe once it has real users. Across the 21 third-party apps in the AxonBuild corpus, built variously with Lovable, Bolt, Replit, and several other generators, the same three failures recur regardless of which one generated the code.
RLS that exists but doesn’t check ownership
Nine of 21 apps had a row-level security gap, and 7 of 21 confirmed the worst version: a logged-in user could read or write another customer’s data. The recurring shape is a policy that confirms someone is signed in and stops there, never comparing the row to the person asking for it. Verify it on your own app in two minutes: create a second account, and try to reach the first account’s data through the app’s own interface with an edited ID. A result coming back is the leak.
A secret that never should have shipped
Six of 21 apps had a real secret exposed, a webhook signing key, an AI-provider key, a Stripe key, sitting in a bundle or a git history where anyone could find it. It helps to separate two very different keys here, since “can attackers see my Supabase credentials” usually means one of two things. The public anon key is supposed to be visible; every browser bundle carries it by design, and the only barrier left between that key and your data is Row Level Security. The service_role key plays the opposite role: RLS doesn’t apply to it at all, so it belongs on your server and nowhere else. One line in a terminal checks whether either key or any other secret shipped somewhere it shouldn’t:
grep -rE "sk_(live|test)_|AIza[A-Za-z0-9_-]{35}|service_role" .RLS that’s correct on the table and skipped anyway
This is the failure neither a publish scanner nor a quick RLS read catches, and it’s worth walking through once because it’s the one people don’t think to check. In a B2B SaaS audit outside Lovable entirely, every table’s RLS policy was correct. What leaked customer names, emails, and organization details to any logged-in account was a reporting view built on top of those tables, joining across the RLS boundary with no security_invoker set. Supabase’s own documentation explains why: “Views bypass RLS by default because they are usually created with the postgres user.” That’s a Postgres default that predates Lovable entirely, and it quietly opts every view out of the protection its underlying tables have unless someone tells it otherwise.
The fix, once you know to look, is one clause: create view your_view with (security_invoker = true) as select ... on new views, or alter view your_view set (security_invoker = true) on ones you already shipped. Finding the ones that need it is a grep through your migrations for create view or create or replace view with no security_invoker nearby. Correct table policies tell you nothing about whether a view sitting on top of them was built the same way.
The CVE-2025-48757 story, correctly figured
This is the incident most write-ups about Lovable’s safety reach for, and the exact figures are worth stating precisely rather than rounded. Researcher Matt Palmer scanned 1,645 Lovable-generated projects and found 303 vulnerable endpoints across 170 of them, about one in ten, disclosed May 29, 2025. His own script only checked homepages, not anything behind a login, so the true count was likely higher than what he measured. What came back through those 303 endpoints was real: usernames, emails, phone numbers, payment and subscription status, and API tokens for services like Gemini and Google Maps that developers had connected to their projects.
The mechanism, per the official CVE record, was an insufficient row-level-security policy reachable by an unauthenticated attacker. The credential that let them in was nothing exotic: the public anon key every Lovable app ships in its bundle by design, the same key Row Level Security is supposed to stand behind. Palmer’s own read of Lovable’s scanner at the time was pointed: it “merely checks for the existence of any RLS policy, not its correctness or alignment with application logic.” Existence and correctness are different claims, and this incident is the public record of that gap costing real data.
One clarification here, because it’s easy to conflate this with a separate, later incident: this is not the April 2026 breach where a researcher showed a free account pulling another user’s source code and database credentials directly. That one hit Lovable’s own project-sharing infrastructure. CVE-2025-48757, from May 2025, hit the RLS your Lovable app’s own database was supposed to enforce instead, a different mechanism aimed at the same underlying trust boundary.
A scan confirms a policy exists. Whether it actually holds is a different test, and the only thing that runs it is a second account or a second query, not another pass of the same check.
The Lovable self-check
None of the checks below require access to Lovable’s own source or a vendor’s audit calendar. They take about ten minutes on the app you already have.
- 01 Create a second account, separate from the one you build with
- 02 As the second account, try to read and write the first account’s data by editing an ID in the app’s own interface, then, if you’re comfortable with it, in a direct API call
- 03 Open every table’s RLS policy in Supabase and confirm each one compares the row to auth.uid(), not just to whether someone is logged in
- 04 List every view and every SECURITY DEFINER function in your schema, and check each one against the same second-account test above, since neither shows up in a table-level RLS review
- 05 Run the grep for anon and service_role keys against your built bundle, not just your source, since a key can leak through a build step your source never shows
A clean pass on all five is a genuinely good sign, of a specific and limited kind: it tells you what held on the day of the check, and it makes no promise about any day after. It also doesn’t travel: moving off Lovable Cloud hands you a database export that carries your policies as text and proves nothing about whether they still hold on the project you land on, so all five checks get run again there.
The verdict, and when Lovable is genuinely fine
Lovable is safe to build on. The certifications are real, and the publish-time scan catches a real, if partial, slice of mistakes. Both of those claims are things you can go check yourself, which is the whole point of naming them. Cost is the question that usually arrives next and gets a different kind of answer, since what Lovable credit costs actually meter is code volume, not whether the code holds.
Whether your specific app is safe is the separate question this whole post has been answering, and it comes down to whether you ran the self-check above and didn’t find anything. If you did, and it came back clean, that’s a fine place to be for most apps without regulated data or real money moving through them. If you haven’t run it yet, the honest answer to “is Lovable safe for production” is that nobody can tell you that without you or someone running the checks, since production readiness is a property of your app’s specific tables, views, and keys. What that fuller production-readiness pass looks like for a Lovable app specifically is its own longer answer, and it’s the one to read before you treat a clean self-check as the finish line.
If you landed here from a search that had “reddit” tacked onto the end of it, that instinct was right: the marketing page and the trust center were never going to answer the question you actually had, which is whether the app you personally built has this problem, not whether the company does. Why AI coding tools ship security holes by default covers the mechanism behind that gap in more depth, and it isn’t specific to Lovable. Whether paying someone to run this check for you is worth it, versus doing it yourself this afternoon, is a smaller decision covered in whether an AI app security audit is worth it. In about two minutes, the scorecard runs through all twelve readiness areas, scores the nine it can measure from what you answer, and puts your weakest one first, Lovable-built or not.
If the answer you actually came for is which tool to use instead, that is a different question with a longer answer. The six most-named Lovable alternatives scored on auth, database defaults, deploy path, and export covers it, and the short version is that no tool in the set changed the audit outcome.
More on building with Lovable
The rest of this series takes one Lovable question each: what the Lovable data breach exposed, whether a Lovable app is production ready, how Lovable credits are metered across plans, what the Lovable free plan limits actually are, what the Lovable Cloud export actually includes, and how to disable Lovable Cloud and take your data with you.
Common questions about Lovable’s safety
What is CVE-2025-48757?
CVE-2025-48757 is the vulnerability record, disclosed May 29, 2025, covering insufficient row-level-security policies in Lovable-generated apps, reachable by an unauthenticated attacker holding nothing but the public anon key every Lovable app ships. Matt Palmer’s scan found 303 vulnerable endpoints across 170 of 1,645 projects, leaking usernames, emails, phone numbers, payment status, and connected API tokens. The section above walks the mechanism, and the separate April 2026 project-sharing incident it usually gets confused with.
Can attackers see my Supabase credentials?
One of them, by design. The public anon key ships in every browser bundle on purpose, and Row Level Security is the only thing standing between it and your data. The service_role key bypasses RLS entirely and should never leave your server; run the grep above against your built bundle, not just your source, to confirm it never has.
Is Lovable safe for production?
The platform is, on the evidence any vendor can fairly be asked for. Whether your app is depends on the specific tables, views, and keys you shipped, and no publish-time scan verifies those for you. Run the five-step self-check; a clean pass on an app without regulated data or real money moving through it is a reasonable place to launch from. Security is one slice of that call, and the full launch-readiness question has six other slices worth the same scrutiny.
Is Lovable secure as a platform?
Yes, on the evidence that exists: SOC 2 Type 2 and Type 1 attestation plus ISO 27001:2022 certification, the SOC 2 Type 2 compliance effective August 13, 2025, all of it independently verified rather than self-declared. Platform security and the security of the app Lovable generates for you are different layers, and the certifications speak only for the first.
Does Lovable’s security scan check for leaked secrets?
Not on every publish. The scan that fires automatically when you open the publish dialog covers RLS policy linting, a schema review, and known dependency vulnerabilities; hardcoded keys and exposed secrets belong to a separate, deeper scan that has to be run on its own. The one-line grep above covers the same ground against the bundle you actually shipped.
Is Lovable safer than Bolt or Replit?
The audit record doesn’t attribute failure classes to specific builders in a way that would support a ranking, and the same three failures above recurred across apps from every tool in the set. Whether Base44 is safe lands on the same answer from the other side, a certified platform and an unverified app, so whether anyone ran a second-account test before launch moves the risk far more than the logo on the editor does. If the question underneath yours is which one to switch to, what the Lovable alternatives actually hand you scores all six on the same four axes.
Don't guess where you stand.
The free 2-minute Beyond the Demo Scorecard estimates where you stand across 12 readiness areas and shows what to check first.
