Lovable App Security: RLS, Keys & a Pre-Launch Checklist

Lovable App Security: Row Level Security and Other Gaps to Check Before Launch

A Lovable app can work perfectly and still have an authorization problem. Login works, the dashboard loads, and records save. None of that proves User A can't open User B's data.

Lovable app security mostly comes down to one distinction: login proves who a user is. It doesn't automatically prove they can access only the data they're supposed to access. In a Lovable app backed by Supabase, a large part of that second job is handled by Row Level Security, database grants, and how your keys and secrets are handled.

This guide explains each of those in plain English, then gives you a self-check, a two-account test, and a pre-launch checklist you can run on your own app. It's written for founders and makers who can use the Lovable and Supabase dashboards but don't work in security every day.

Is Lovable Secure?

Lovable provides security tooling, including scans before publishing, but whether your specific app is secure depends on its configuration: the generated code, your Supabase RLS policies and grants, how secrets are stored, how authentication is set up, and whether anyone reviewed access rules before launch. Lovable's own documentation says the app owner is responsible for meeting the security needs of their use case.

It helps to separate four kinds of risk. They get mixed together in a lot of online discussion.

Risk layerWhat it meansExampleWho controls it Platform riskA problem in Lovable itselfA bug in Lovable's own systems that exposes project dataLovable Generated-app configuration riskA weakness in the specific app produced through LovableA server function that runs without checking who's calling itYou, with Lovable's tools Supabase configuration riskIncorrect RLS, grants, storage policies, auth settings, or key handlingA table holding customer records with RLS turned offYou, in Supabase or Lovable Cloud Founder / developer responsibilityDeciding the access rules your business needs and reviewing them before launchDeciding whether team members can see each other's invoicesYou

Most of what you can check yourself sits in the bottom three rows. That's the focus of this article.

Authentication vs Authorization: The Security Difference That Matters

Authentication answers "who are you?" It's the login step: email and password, a magic link, or Google sign-in.

Authorization answers "what are you allowed to see or change?" It's the set of rules that decides which records a signed-in person can read, create, edit, or delete.

Here's a simple example. Alice signs up and logs in. Bob signs up and logs in. Authentication works for both of them. Now Alice opens her account page, and the address bar shows a record ID. If she changes that ID to Bob's and Bob's account details appear, authorization is broken, even though login worked perfectly.

In a Supabase app, Row Level Security is one of the main ways authorization gets enforced at the database level, so the rule holds no matter what the frontend does.

What Is Row Level Security in Supabase?

Row Level Security (RLS) is a PostgreSQL feature that Supabase uses to control which rows in a table each user can read or change. You write policies, which work like a filter added to every query. With correct policies, the database itself refuses to return or modify rows a user isn't allowed to touch, even if the app asks for them.

Imagine a projects table holding projects for every customer. Each row has a user_id column saying who owns it. Without correct rules, a query from the app could return projects that belong to other people.

With RLS and a suitable policy, PostgreSQL enforces a rule like this one: a user can read a project only when user_id matches their authenticated user ID. In Supabase, that policy looks like:

create policy "Users can read their own projects"
on projects for select
to authenticated
using ( (select auth.uid()) = user_id );

You don't need to write SQL to follow this guide. The point is that the rule lives in the database, not in a button or page the user can work around.

Do Lovable apps need Row Level Security?

Yes, for any table your app reaches through Supabase's API. Supabase's documentation says to enable RLS on every table in an exposed schema, because without it any role that has been granted access can read and write the table. RLS also needs correct policies for each operation; switching it on is the start of the job, not the end.

Enabling RLS Is Not the Same as Having Secure RLS Policies

A table's protection depends on four things working together:

• RLS is enabled on the table.

• Policies are correct and match your real business rules.

• Grants are appropriate. Grants decide which database roles can touch a table at all. Supabase notes that policies don't remove existing grants, and that the anon (logged-out) and authenticated roles may receive table access by default.

• Every operation is covered: SELECT, INSERT, UPDATE and DELETE.

Each operation needs its own policy:

OperationWhat it controlsQuestion to ask SELECTReading rowsWho can see this record? INSERTCreating rowsCan a user create a row owned by someone else? UPDATEEditing rowsCan a user edit rows they don't own, or change the owner field? DELETERemoving rowsWho can delete this, and should anyone?

A table can block reads perfectly and still have an update policy that's far too broad. And a policy can be logically wrong even though RLS is technically on. Common examples:

• A policy using true, which lets everyone through. Supabase's Security Advisor flags overly permissive policies.

• A policy that allows any signed-in user to read every row, when it should allow only the owner.

• Role checks based on user metadata, which users can edit themselves. Supabase's advisor flags this too.

• Database views, which bypass RLS by default unless they're created with security_invoker = true.

How Do I Check Whether My Supabase Tables Have RLS Enabled?

Open your Supabase project and run the Security Advisor, which flags tables in the public schema with RLS disabled, tables with RLS but no policies, and overly permissive policies. Then review each table's policies in the dashboard. If you use Lovable Cloud instead of your own Supabase project, Lovable shows policies under More, then Cloud, then Database, then RLS policies.

Only do this on projects you own or are authorized to review.

1. Run the Security Advisor. In Supabase Studio, open Advisors, then Security Advisor. Look for "RLS disabled in public," "RLS enabled, no policy," "policy exists, RLS disabled," and "permissive RLS policy." Supabase notes some findings may be intentional, so check each against what you meant to build.

2. List your tables and mark the private ones. Write down every table that holds user-specific or business-sensitive data: profiles, orders, messages, invoices, files, notes.

3. Confirm RLS status. In the SQL Editor of your own project, this read-only query lists each table and whether RLS is on:

   select tablename, rowsecurity
   from pg_tables
   where schemaname = 'public';

4. Read every policy. The Policies page under Authentication shows them per table. Or run:

   select tablename, policyname, cmd, roles, qual, with_check
   from pg_policies
   where schemaname = 'public';

   For each one, write a plain-English sentence describing what it allows. If you can't, that's a finding.

5. Review grants. This shows what the logged-out and logged-in roles can do on each table:

   select table_name, grantee, privilege_type
   from information_schema.role_table_grants
   where table_schema = 'public'
     and grantee in ('anon', 'authenticated');

6. Compare against your rules. For each private table, decide who should read, create, edit and delete. Then check that the policies say exactly that.

Finishing these steps doesn't complete the audit. It tells you what the rules say. The two-account test below tells you whether they actually work.

Lovable + Supabase Security Self-Check

Use this table to work through the main areas. The last column tells you when it's reasonable to bring in help.

CheckWhat to look forGood signRed flagDeveloper needed? RLS enabledRLS status on every table in the public schemaOn for all tables the app reachesPrivate-data tables with RLS offUsually not SELECT policiesWho can read each tableOwner-only or role-specific rules you can explaintrue, or any signed-in user reads all rowsIf rules are complex INSERT policiesWhether new rows are tied to the creatorA check that the new row's owner is the current userUsers can create rows owned by othersIf unsure UPDATE policiesWho can edit, and which fieldsOwner-only, with the owner field protectedAnyone signed in can edit any rowOften DELETE policiesWho can remove recordsLimited to owners or admins, or no delete at allNo thought given; broad delete accessIf unsure Public accessWhat a logged-out visitor can read or changeOnly truly public content, such as a product cataloganon grants and policies on private tablesUsually not Admin accessHow admin rights are granted and checkedRoles stored and enforced server- or database-sideAdmin pages hidden only in the UIYes Service-role secretsWhere the secret or service_role key is usedOnly in server-side functions or environment variablesAppears in browser code or the repoYes, if exposed Storage policiesBucket visibility and file access rulesPrivate buckets for private files, owner-based policiesUser documents in a public bucketIf unsure Auth flowsSignup, login, logout, sessionsEmail confirmation where needed; sessions end on logoutUnverified accounts reach paid or private featuresUsually not Password resetThe full reset flowLinks expire and go only to your real domainReset links point to a preview or localhost URLUsually not API secretsStripe, OpenAI and other private keysStored as secrets, used in server functionsSecret keys in frontend codeYes, if exposed User-to-user isolationResults of the two-account testEach account sees and edits only its own dataAny cross-account read or writeYes Production/test separationTest data, test keys, debug settingsSeparate environments or at least separate keysTest accounts and test keys live in productionSometimes

The Two-Account Test

This is the most useful test a non-technical founder can run. Only test applications and data you own or are authorized to assess.

1. Create test account A with an email you control.

2. Create test account B with a different email, in a separate browser or private window.

3. Add private data under each account: a project, a note, an order, an uploaded file. Give them obvious names, like "A private note."

4. Verify A sees only A's data. Check every list, search, dashboard and export.

5. Verify B sees only B's data. Repeat the same pages.

6. Test allowed updates and deletes. Confirm each account can edit and delete its own records, and that nothing it does changes the other account's records.

7. Test logged-out behavior. Sign out and revisit private pages and links you copied while signed in. They should redirect to login or show nothing.

Check record IDs and links too

Many apps show a record ID in the address bar, such as /projects/1842. While signed in as account A, open one of account B's record links that you copied earlier. Do the same with any shareable or download links. The page should refuse to show B's data.

The goal is simple: verify that server and database authorization still block access when the app requests another person's record. If the only thing stopping access is that the button is hidden, the protection isn't real.

Is My Supabase Key Exposed?

Seeing a Supabase key in your frontend code is not, on its own, a leak. The publishable key (and the older anon key) is designed to be used in browsers and apps, and it only allows what your RLS policies permit. The real risk is a secret key or service_role key in client code, because those bypass RLS entirely.

Key or credentialLooks likeSafe in frontend code?Bypasses RLS?Where it belongs Publishable keysb_publishable_...Yes, by designNo. Limited by your policiesClient apps Legacy anon keyA long JWT labeled anonYes, same role as publishableNoClient apps Secret keysb_secret_...NeverYes, when no user token is sentServer-side only Legacy service_role keyA long JWT labeled service_roleNeverYesServer-side only Database password / connection stringpostgres://...NeverYes, full database accessServer-side or your password manager Third-party secretsStripe sk_..., OpenAI keys, SMTP passwordsNeverNot applicable; grants access to that serviceServer-side secrets

That's why articles that say "your Supabase key is visible, so your database is hacked" are misleading. The publishable key identifies your project. What protects your data is RLS, grants, and keeping privileged keys private. Supabase also notes that a publishable key doesn't protect you against things like cross-site scripting or phishing, so it's not a security control in itself.

Supabase says it is deprecating the legacy anon and service_role keys by the end of 2026, so newer projects use publishable and secret keys.

Which secrets should never be exposed?

• Supabase secret or service_role keys

• Stripe secret keys and webhook signing secrets

• OpenAI and other private AI API keys

• Database passwords and connection strings

• SMTP or email-provider credentials

• Cloud storage access keys

• Internal API credentials

These belong in server-side environment variables, a secret manager, or trusted backend functions such as Supabase Edge Functions. Lovable's documentation says API keys can't be stored safely in client-side code and directs you to its Secrets feature. Don't paste secrets into AI chats, screenshots, support tickets, or public repositories.

To check your own app: open it in your browser, open developer tools, and search the loaded scripts for sb_secret_, service_role, and secret prefixes from your other providers, such as Stripe's sk_live_. Search your code repository the same way, including its history. Lovable's Deep scan also checks for leaked secrets.

What should I do if a secret was exposed?

1. Revoke or rotate the credential. For a Supabase secret key, create a new key, switch every component to it, then delete the old one. Legacy keys can be deactivated in Settings, then API Keys.

2. Update your trusted environment so server functions use the new secret.

3. Remove the credential from client code and move the call that needed it into a server function.

4. Review access logs and activity where the provider offers them.

5. Check repositories and their history. Deleting a key in a new commit doesn't remove it from earlier commits or from anyone who already copied it. Treat it as compromised and rotate.

6. Update dependent services that used the old credential.

7. Investigate whether unauthorized use occurred, such as unexpected charges, data changes, or new accounts.

Authentication Checks Before Launch

Working login is only one layer. Before launch, test each of these yourself:

• Signup: does it require email confirmation where your use case needs it? Supabase's production checklist recommends enabling it.

• Login: do wrong passwords fail cleanly, without revealing whether an email exists?

• Logout: after signing out, do private pages stop working?

• Password reset: does the link go to your real domain, expire, and work only once?

• Session expiry: do long-idle sessions end as you expect?

• OAuth redirects: if you use Google or other providers, are only your real domains on the allowed redirect list?

• Admin access: covered next.

How is admin access protected?

Admin features need extra care, because one mistake gives a normal user powers over everyone. Watch for:

• Admin pages protected only by the UI. Hiding a menu item doesn't stop someone from calling the same database action.

• Hard-coded role checks in frontend code, such as checking for a specific email.

• Role values the client supplies, including user metadata, which users can edit.

• Shared admin accounts, which make it impossible to tell who did what.

Admin rights should be stored somewhere users can't change, such as a separate roles table, and checked in RLS policies or server functions.

Are uploaded files protected too?

Database RLS doesn't automatically protect files in Supabase Storage. Storage has its own policies on the storage.objects table. Review:

• Bucket visibility. Supabase says files in a public bucket can be read by anyone with the URL. Private buckets are the default and send every download through policies.

• Storage policies. Without policies, Storage blocks uploads; each allowed operation needs a policy.

• User ownership. Policies can limit access to the file's owner or to a folder named after the user's ID.

• Signed URLs for private files you need to share temporarily.

• Public vs private files. Logos can be public. IDs, invoices and contracts shouldn't be.

What CVE-2025-48757 Means for Lovable Founders

CVE-2025-48757 is a disputed vulnerability record published May 30, 2025. It describes insufficient database Row-Level Security in Lovable through April 15, 2025, which it says could let unauthenticated users read or write database tables of generated sites. MITRE scored it 9.3 (Critical) under Incorrect Authorization. Lovable disputes it, saying customers are responsible for protecting their own application data.

The official record

• Published: May 30, 2025

• Scope: Lovable through April 15, 2025

• Issue: an insufficient Row-Level Security policy allowing remote unauthenticated read or write access to arbitrary tables of generated sites

• Score: CVSS 3.1 base score 9.3, Critical, assigned by MITRE as the CVE Numbering Authority

• Weakness: CWE-863, Incorrect Authorization

• Status: tagged disputed. The record notes the supplier disputes it and states each Lovable customer is responsible for protecting their application's data.

The researcher's findings

The record links to a write-up and a follow-up statement by security researcher Matt Palmer, who reported finding Lovable-built apps whose Supabase data was reachable because of missing or insufficient RLS. Those findings are the researcher's reported results, separate from the CVE record itself. Read his original write-up and statement for his methods and numbers.

Lovable's position

Lovable disputes the record's framing, as noted in the CVE. Separately, Lovable's current documentation describes security scans that check database access rules before publishing, while stating that app owners remain responsible for their app's security.

Our view at TechAllin

What the CVE does mean: RLS configuration can be security-critical. Generated apps need an authorization review. A working UI and login are not proof of database isolation.

What it does not mean: that every current Lovable app is vulnerable, that Lovable is inherently unsafe, that every Supabase deployment is exposed, or that one generic RLS policy solves every issue.

A separate, platform-level issue: Lovable published its own account of an April 2026 incident in which, it says, backend changes made in February 2026 let other users access chat history and source code of public projects until a fix on April 20, 2026. Lovable says private projects and Lovable Cloud were not affected. That was a platform risk, different from RLS configuration. If you kept secrets in the code of a public project during that window, rotating them is a sensible precaution.

Other Security Gaps to Check Before Launch

These aren't problems every Lovable app has. They're areas a good audit looks at.

• Overly broad RLS policies: signed-in users can reach more rows than intended.

• Missing operation-specific rules: reads are covered, but updates or deletes aren't.

• Exposed privileged credentials: secret keys or database passwords in client code or repositories.

• Weak admin authorization: admin actions enforced only in the interface.

• Insecure file access: private documents in public buckets.

• Missing input validation: the server trusts whatever the form sends, including prices or quantities.

• Unprotected server functions: Edge Functions or API routes that run without checking who's calling.

• Sensitive data in logs: tokens, passwords or personal data written to error logs.

• Test configuration in production: debug modes, test keys, demo accounts.

• Unreviewed dependencies: outdated packages with known vulnerabilities. Lovable's Quick scan checks npm dependencies.

• No rate limiting where risk warrants it: login, signup, or costly AI endpoints that can be called without limit.

Lovable App Security Checklist Before Launch

• RLS reviewed on every exposed table

• Grants for anon and authenticated reviewed

• SELECT policy tested

• INSERT policy tested

• UPDATE policy tested

• DELETE policy tested

• Two-account isolation test passed

• Logged-out access tested

• Admin authorization tested with a normal account

• Secret and service_role keys used server-side only

• Other private API secrets server-side only

• Storage buckets and policies reviewed

• Password reset flow tested end to end

• Production separated from test where appropriate

• Error logs checked for sensitive information

• Dependencies checked

• Backups confirmed

• Monitoring or error tracking enabled

• High-risk workflows, such as payments, manually reviewed

Which findings should stop the launch?

This is a practical guide to direction, not a formal CVSS assessment. Exact severity depends on your data, users, and setup.

FindingSeverity directionWhy User A can read User B's private dataCriticalA direct privacy breach for every user Anonymous visitor can modify private dataCriticalAnyone on the internet can change your records Service-role or secret key exposed client-sideCriticalIt bypasses RLS, so all other protections stop mattering Admin action available to a normal userCritical/HighOne account can affect everyone Weak delete policyHighData loss, sometimes without a recovery path Missing validationDependsSerious on prices or permissions, minor on a display name No monitoringMediumYou may not notice a problem until users report it Minor dependency updateDependsMatters if the package has a known exploitable flaw

Can Lovable Security Issues Be Fixed Without Rebuilding?

Often, yes. Missing RLS, incorrect policies, exposed secrets, auth logic, storage policies, validation, tests and deployment settings can usually be fixed in place. A deeper rebuild makes sense only when the data model or architecture can't support the access rules your business needs. Having used Lovable is not, by itself, a reason to rebuild.

Usually fixable in placeMay need deeper rebuilding Missing RLS on tablesThe data model fundamentally conflicts with your access rules Incorrect or overly broad policiesAuthorization is scattered unpredictably across the frontend Exposed secrets (rotate and move server-side)The backend can't support the security you need Auth configuration and logicCritical logic can't be reliably separated from the client Storage policies and bucket settingsTechnical debt makes safe changes unusually risky Input validation, tests, deployment settings

When part of an app does need rebuilding, it's often one subsystem, such as billing or multi-tenant access, rather than the whole product. That's where custom software development comes in.

When Should You Hire a Lovable App Developer?

Hire a Lovable app developer or security reviewer when you can't explain your RLS policies, users have different roles, the app handles payments or sensitive data, multiple organizations share one database, you found an exposed secret, or a launch carries real financial or privacy risk. Simple visual changes usually don't need specialist security work.

Bring in help when:

• you can't explain what your RLS policies allow

• different user roles need different data access

• the app handles payments

• it stores sensitive personal, health, or financial information

• admin privileges exist

• multiple organizations or teams share one database

• you discovered exposed secrets

• scan results or advice conflict with each other

• you can't confidently run the two-account test

• a launch has meaningful financial or privacy risk

The self-check above takes you a long way. Here's where a professional review adds depth:

Security areaFounder self-checkProfessional review RLS enabledStrongStrong Policy correctnessLimitedDetailed Authorization designDifficultDetailed Secret exposureBasicDetailed Admin accessBasicDetailed Database structureLimitedDetailed Storage policiesBasicDetailed Security testingLimitedStronger Fix vs rebuildSubjectiveEvidence-based

How TechAllin Reviews Lovable Apps

TechAllin's vibe-coded app audit and rescue service follows one sequence: assess, identify risks, prioritize findings, fix and harden, then decide whether any part needs deeper rebuilding.

The Assess stage is a fixed-fee audit delivered in 3–5 business days. It combines automated and manual scanning with a review of auth and data access, secrets and API key exposure, and architecture. You get severity-rated findings, a fix-or-rebuild verdict with hour estimates, and a plain-language summary.

If you go ahead, Fix & Harden can cover backend auth validation, secrets rotation and environment management, Row Level Security implementation, database restructuring where needed, test coverage for critical paths, CI/CD setup, and staging and production deployment. Migration off Lovable is available when it's actually warranted; it isn't the default. The audit fee is credited toward Fix & Harden.

Not sure your app is ready?

Not sure whether your RLS policies, authentication, or secrets handling are safe enough for production? TechAllin's Vibe to Production assessment reviews the areas that are hard to verify from the UI alone and gives you a prioritized fix-or-rebuild recommendation. Start with a free 30-minute assessment call. If you don't need an audit, we'll tell you.

Book a free 30-minute assessment

Frequently Asked Questions

Is Lovable secure?

Lovable offers security tooling, including Quick and Deep scans before publishing, but the security of your specific app depends on its configuration: RLS policies, grants, how secrets are stored, auth settings, and whether access rules were reviewed. Lovable's documentation says owners are responsible for meeting their use case's security needs. Treat a passing scan as a good start, not a guarantee.

Do Lovable apps need Row Level Security?

Yes, for every table your app reaches through Supabase's API. Supabase recommends enabling RLS on every table in an exposed schema. Without it, any role with a grant can read and write the table. Enabled RLS also needs correct policies for SELECT, INSERT, UPDATE and DELETE, and reviewed grants, before it protects anything meaningfully.

What is Supabase RLS?

Supabase RLS is PostgreSQL's Row Level Security feature, used to decide which rows each user can read or change. You write policies that act like a filter on every query, such as "a user can read a project only if they own it." Because the rule runs in the database, it still applies if someone bypasses your app's interface.

How do I check whether RLS is enabled?

Run the Security Advisor in Supabase Studio, which flags tables in the public schema with RLS disabled, tables with no policies, and overly permissive policies. You can also check each table's RLS status in the dashboard or with a read-only SQL query on pg_tables. Lovable Cloud users can review policies under More, Cloud, Database, RLS policies.

Is enabling RLS enough?

No. Enabling RLS is the first step. You also need correct policies for each operation, appropriate grants for the anon and authenticated roles, and protection for views and storage. A table can block reads but allow overly broad updates, and a policy can be technically active but logically wrong. Confirm everything with a two-account test.

Is the Supabase anon key a secret?

No. The anon key, now replaced by the publishable key, is designed for client apps and is safe to appear in frontend code. It can only do what your RLS policies allow. The keys that must stay secret are the secret key and the legacy service_role key, because they bypass RLS.

What happens if my service-role key is exposed?

Anyone who has it can bypass your RLS policies and read or change data across your project. Rotate it immediately: create a new key, update your server functions, remove it from client code, then delete or deactivate the old key. Check repository history and activity for signs of misuse.

How do I check whether users can access each other's data?

Run a two-account test on your own app. Create two test accounts, add obviously named private data to each, and confirm each sees only its own records across every page and export. Then try opening the other account's record links while signed in, and sign out to test logged-out access. Only test apps you own or are authorized to assess.

Can Lovable security issues be fixed without rebuilding?

Often, yes. Missing RLS, incorrect policies, exposed secrets, auth configuration, storage policies, validation, tests and deployment settings can usually be fixed in place. A rebuild of a subsystem makes sense when the data model or architecture can't support the access rules you need. Using Lovable isn't, by itself, a reason to rebuild.

What is CVE-2025-48757?

CVE-2025-48757 is a vulnerability record published May 30, 2025, describing insufficient Row-Level Security in Lovable through April 15, 2025. MITRE scored it 9.3 (Critical) under Incorrect Authorization. The record is tagged disputed: Lovable says customers are responsible for protecting their app data. It doesn't mean every current Lovable app is vulnerable.

When should I hire a Lovable app developer?

Consider it when you can't explain your RLS policies, users have different roles, the app handles payments or sensitive data, multiple organizations share a database, you've found an exposed secret, or launch carries real financial or privacy risk. Simple design and copy changes usually don't need security specialists.

Should a Lovable app get a security audit before launch?

If it stores personal data, takes payments, has admin roles, or serves more than one organization, an audit before launch is worth it. At minimum, run the self-check and two-account test in this guide. Lovable's own documentation recommends professional review for apps that handle sensitive data or critical functions.