CVE-2025-48757 Explained: How to Check If Your Lovable App Is Affected

Quick answer: CVE-2025-48757 is a disputed record concerning insufficient database authorization in Lovable-generated sites. Frontend login screens cannot enforce database permissions. Audit your app’s table privileges, Row-Level Security policies, and server-side authorization, then test anonymous access and access between separate test accounts.

By Paula C · Kraftwire Software

CVE-2025-48757 concerns insufficient database Row-Level Security policies in Lovable-generated sites. The record is disputed by Lovable, which says customers are responsible for protecting their application data. Review database privileges and policies together; for individually owned records, a policy may compare auth.uid() with the row’s user_id. Shared records need authorization rules appropriate to their access model.

Tools such as Lovable, Bolt.new, and v0 can help build applications, but working frontend features do not establish correct backend permissions. Protect Supabase data by reviewing database privileges, RLS policies, and privileged credentials together.

These live figures describe all scanned sites. They do not establish prevalence for an AI-built subgroup, compare development methods, or attribute findings to AI generation.

30% of the 119 live sites SimplyScan has scanned (36 sites) have at least one high or critical security issue.

Investigate individual findings and their check definitions before attributing a cause or interpreting the aggregate category.

The CVE record identifies CWE-863: Incorrect Authorization. The access-control concern is that a database endpoint may allow an operation the caller should not be permitted to perform, regardless of what the login screen displays.

A browser application using the Supabase client might fetch data like this. The comment warns against relying on the file’s location for protection; the query to user_private_data can be appropriate when database privileges and policies enforce the intended access:

If the developer assumes that because this code is inside a "protected" route (e.g., /dashboard), it is safe, they are mistaken. An attacker can simply open the browser console, grab the SUPABASE_ANON_KEY and SUPABASE_URL from the network tab, and run the same query from their own machine. With RLS disabled, access depends on table privileges; it is not automatically public.

The Mechanics of the Bypass

A browser can call a backend API directly. That API and its database must enforce permissions independently of the interface. A custom application server also needs authorization checks; this requirement does not depend on whether AI generated the code.

The Frontend Illusion

A ProtectedRoute component may check whether a user object exists in local state and redirect to /login when it does not. This can guide navigation, but it cannot enforce backend authorization. A caller can use curl to contact the Supabase REST API without visiting the route. Changing local state does not create a valid signed token or override a correctly enforced database policy.

The Database Reality

With RLS disabled, access depends on table privileges. Enabled RLS without applicable policies denies access to roles subject to RLS. Permissive policies can allow unintended access; service roles with bypass privileges are outside that protection.

You must verify your security posture across three distinct layers: the database, the API, and the frontend. This is a core part of any application security audit checklist.

How to Audit Your App for CVE-2025-48757

1. The Manual "Anon" Test

Test an app you own using its public legacy ANON_KEY, without a signed-in user token. Never use a service-role key for this test:

• Open your application in a browser.
• Open the Developer Tools (F12) and go to the Network tab.
• Refresh the page and find a request to your Supabase URL (it usually ends in .supabase.co).
• Identify the public legacy anon key in the apikey header; confirm its type before using the example.
• Open a terminal and run:

A data response demonstrates anonymous access for this request; determine whether the returned data is intended to be public. An empty response or error does not establish that all tables, roles, or operations are protected. Include separate test-account checks in your broken access control checklist.

2. Supabase Dashboard Audit

Inspect sensitive tables, their grants, and their RLS policies in your Supabase project. Review which roles and operations each policy covers and test the resulting access. An enabled flag alone does not establish that a policy matches your application’s requirements. A predicate of true admits every row for the policy’s operation and role; use true only where that scope is intended.

3. Automated Scanning with SimplyScan

SimplyScan runs bounded URL checks, typically in about 30 seconds. Its Supabase checks can use browser-visible project configuration to test selected anonymous reads. They do not establish every table’s permissions or test access between signed-in users.

• Public SUPABASE_ANON_KEY and SUPABASE_URL values identify a project; their presence alone is not a secret leak.
• Selected table probes include names such as profiles, users, settings, and orders; returned data requires review for intended public access.
• Header checks include X-Content-Type-Options and Content-Security-Policy.
• Secret checks look for supported credential patterns, including an exposed SERVICE_ROLE_KEY. A service-role credential can bypass RLS and must stay on the server.

Step-by-Step Remediation Guide

This follows the standard application hardening checklist.

Step 1: Enable Row-Level Security

For a table exposed through the Data API that requires row-level restrictions, enable RLS alongside appropriate grants and policies. This example targets a table in your search path; qualify the schema, such as public, when needed.

Without applicable policies, roles subject to RLS cannot access rows. Table owners normally bypass RLS unless forced to use it; superusers and roles with bypass privileges also bypass it. Test with the application’s actual roles.

Step 2: Implement Owner-Based Policies

For individually owned rows with a compatible ownership column, the auth.uid() function can support a policy like this:

This example assumes a user_id column containing the owner’s user identifier. With no explicit new-row check, PostgreSQL reuses the policy’s row predicate for inserts and updates. The policy applies to all roles by default, subject to grants and other policies; narrow its roles where appropriate. Other schemas can use membership tables or different ownership relationships. See RLS policies explained.

Step 3: Validate Identity on the Server

Do not treat data returned by supabase.auth.getSession() from client-controlled storage as proof of identity. In server-side code, supabase.auth.getUser() can validate the access token with the authentication service. Enforce authorization for the requested operation separately; a frontend guard remains a navigation control. Our JWT debugger decodes token contents and offers an optional HMAC check, but decoding alone does not validate a token or establish authorization.

Step 4: Rotate Compromised Secrets

The ANON_KEY is designed to be public; rotating it does not fix permissive database access. If a SERVICE_ROLE_KEY is exposed, replace or revoke the compromised credential and investigate its use. Our secret scanner checks supported patterns in a bounded set of repository files and history; a clean result is not proof that no credential leaked.

Comparing Security Across AI Platforms

• Bolt.new & v0: Review generated code and deployment permissions. See our Bolt security guide and v0 security guide.
• Cursor & Windsurf: Test the backend authorization of the application you deploy. See our Cursor security checklist.
• Bubble & WeWeb: Use the authorization controls of the actual backend. Bubble Privacy Rules and the controls of a backend connected to WeWeb are not interchangeable. Hiding UI elements does not enforce database permissions. See the Bubble security guide and WeWeb security guide.

13% of the 119 live sites SimplyScan has scanned (15 sites) have at least one high-severity web-security issue, such as a missing Content-Security-Policy or HSTS header.

The average security score across the 119 live sites SimplyScan has scanned is 86 out of 100.

An app can look healthy and perform well on the surface while still harboring a backend flaw that exposes every user record.

Why AI Visibility and Security Must Coexist

Keep public pages discoverable while enforcing access controls on private data. AI visibility (AEO) checks and authorization tests answer different questions; crawler access does not establish data security.

To maintain that separation:

• Public content: A SELECT policy using USING (true) can allow reads subject to table privileges. Use it only for records and columns intended to be public; separate private fields or restrict column access.
• Private content: Use auth.uid() or other verified identity and membership information to enforce the application’s access model.
• Metadata: The meta tags generator helps prepare page metadata. Metadata and sitemaps do not protect private routes.

The Future of Vibe Coding Security

Review generated code and deployment settings whenever the app changes. New platform features do not establish that an existing application’s permissions are correct.

Continuous Monitoring

Pro Monitoring includes Pro scan credits for full reports. See pricing for the allowance associated with your chosen option.

Keep scanning as the app changes. Rescan your production environment every time you push an update; Pro Monitoring includes scheduled rescans.

SSL/TLS Health

Use our SSL checker to inspect supported TLS protocol, certificate, and HSTS signals. Its result does not rule out every transport-layer attack.

Validation

Let users inspect the dated scan and its limitations. A verified security badge links to a dated scan’s score and eligibility state, subject to the badge criteria. It does not prove the absence of vulnerabilities.

Conclusion: Don't Let Speed Compromise Safety

A free SimplyScan URL audit can surface supported observable findings. Review its coverage and test authenticated access separately before concluding that private records are protected.

Review privileges, test policies with separate accounts, validate identity on the server, and keep privileged credentials out of the browser. Repeat the relevant checks after changes to schemas or authorization logic.

Related Security Guides:

• How to Fix Exposed API Keys in Lovable
• The Ultimate Vibe Coding Security Checklist
• Supabase RLS: A Deep Dive for AI Developers
• Understanding JWT Security in BaaS Platforms

FAQ

Is CVE-2025-48757 still a risk in 2026?

Assess the deployed app’s current permissions rather than its creation date. A table with inappropriate grants or permissive policies can expose data, while enabled RLS without applicable policies denies access to roles subject to RLS. The disputed CVE record does not establish that every older app is vulnerable or every newer app is fixed.

How do I check if my Lovable app is affected?

Review table privileges and RLS policies, then test anonymous access and access between separate test accounts on an app you own. A URL scan can surface selected anonymous exposures, but cannot establish all authenticated permissions or prove that an app is unaffected.

Does Row-Level Security protect me if authentication is bypassed?

RLS enforces the policies applicable to the database role and verified identity. Bypassing a frontend screen does not bypass correctly enforced policies. A stolen valid session token can, however, give an attacker the victim’s permitted access; RLS alone does not distinguish that attacker from the user. Bypass roles also remain outside RLS protection.

Do other AI coding tools have the same kind of vulnerability?

Broken access control can occur in applications built with other tools or by hand. That does not mean those applications fall within this CVE’s scope. Review the actual backend’s authorization model and test the deployed behavior.

Why is client-side authentication not real security?

In a web browser, the user has total control over the environment. They can modify the JavaScript, skip "if" statements, and view hidden variables. If your "security" consists of an if (isLoggedIn) check in React, an attacker can simply delete that line in their local browser or call your API directly using curl, rendering your frontend check completely useless.

How was CVE-2025-48757 disclosed and fixed?

The researcher’s disclosure describes unauthorized database access in generated apps. The CVE record is disputed by Lovable. The introduction of a scanner does not establish that existing projects were repaired: audit the permissions and behavior of each deployed app.