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

Quick answer: CVE-2025-48757 is a critical authorization bypass affecting Lovable apps where Row-Level Security (RLS) is missing. Attackers can skip frontend logins to query database tables directly. To fix it, you must enable RLS on all Supabase tables and enforce server-side session validation using supabase.auth.getUser() instead of relying on client-side state.

By Paula C · Kraftwire Software

CVE-2025-48757 is a critical authorization bypass vulnerability that allows attackers to skip frontend login screens and query database tables directly using public API keys. To fix it, you must enable Row-Level Security (RLS) on every Supabase table and implement "Default Deny" policies that verify the auth.uid() of the requester against the user_id of the data row.

The rise of "vibe coding" has enabled developers to ship full-stack applications in minutes using tools like Lovable, Bolt.new, and v0. However, this speed often comes at the cost of backend hardening. If your database is reachable via a public API key (as all Supabase-backed apps are), the only thing standing between an attacker and your users' private data is Row-Level Security. In SimplyScan's own scans of 170 real AI-built apps, 30% had at least one high or critical severity issue, often stemming from these exact types of authorization gaps.

According to the National Vulnerability Database (NVD), this vulnerability is classified under CWE-863: Incorrect Authorization. The issue isn't that the authentication (the login process) is broken, but that the authorization (the permission to see specific data) is not enforced where it matters most: at the data layer.

In a typical Lovable application, the AI generates a React or Vite frontend that uses the Supabase client to fetch data. The AI might generate code that looks like this:

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. Without RLS, Supabase will return every single row in the user_private_data table, regardless of who is logged in.

The Mechanics of the Bypass

The vulnerability stems from a fundamental misunderstanding of how modern "Backend-as-a-Service" (BaaS) platforms work. In traditional development, you would have a Node.js or Python server that checks a user's cookie before querying the database. In the vibe coding era, the frontend talks directly to the database.

The Frontend Illusion

Most AI-generated apps use a pattern where a ProtectedRoute component checks if a user object exists in the local state. If it doesn't, the user is redirected to /login. This is excellent for user experience, but it provides zero security against a motivated actor. An attacker can:

• Disable JavaScript in the browser to bypass the redirect logic entirely.
• Use a proxy like Burp Suite to intercept and modify the response from the auth server to simulate a successful login.
• Use the curl command to hit the Supabase REST API directly, bypassing the frontend and all its "protected" routes.

The Database Reality

Because Supabase uses PostgREST to expose your database as a RESTful API, your tables are effectively public by default if RLS is not enabled. This means any user with your project's ANON_KEY·which is intentionally public · can read, update, or delete data if you haven't explicitly told the database not to allow it.

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

The most direct way to see if you are vulnerable is to attempt an unauthenticated request. You can do this without any special tools:

• 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).
• Copy the apikey header value.
• Open a terminal and run:

If this command returns data, your table is public. This is the most critical item on your broken access control checklist.

2. Supabase Dashboard Audit

Log into your Supabase project and navigate to Database > Tables. Look for the "RLS" column. If it says "Disabled" for any table containing user data, you have a critical security gap. Even if it says "Enabled," you must click into Authentication > Policies to ensure the policies aren't too permissive. A policy that says true for all users is the same as having RLS disabled.

3. Automated Scanning with SimplyScan

Manually checking every table and every policy is prone to human error, especially as your app grows and the AI adds new features. SimplyScan provides a specialized scanner for AI-built apps that detects these specific signals in ~30 seconds.

• It identifies exposed SUPABASE_ANON_KEY and SUPABASE_URL pairs.
• It probes for common table names (like profiles, users, settings, orders) to see if they respond to unauthenticated requests.
• It checks for security headers like X-Content-Type-Options and Content-Security-Policy.
• It looks for exposed environment variables that might contain the SERVICE_ROLE_KEY, which would allow an attacker to bypass RLS entirely.

Step-by-Step Remediation Guide

This follows the standard application hardening checklist.

Step 1: Enable Row-Level Security

Run the following SQL command in your Supabase SQL Editor for every table in your public schema. This is the single most important step in securing a BaaS backend.

By enabling RLS without adding any policies, you effectively set the table to "Default Deny." No one · not even the owner · will be able to read or write data until you add a specific policy.

Step 2: Implement Owner-Based Policies

For most apps, users should only be able to access their own data. Use the auth.uid() function to enforce this at the database level:

Ensure your table has a user_id column that is populated when the record is created. Without this column, the database has no way to link a row to a specific user. For more details, see our guide on RLS policies explained.

Step 3: Secure the Frontend Auth Logic

Stop relying on supabase.auth.session(). This method retrieves the session from local storage, which can be easily manipulated by a user. Instead, use supabase.auth.getUser() in your route guards or server-side logic. This function sends a request to the Supabase Auth server to verify the JWT, ensuring the user is who they say they are. You can use our JWT debugger to inspect your tokens and verify their claims.

Step 4: Rotate Compromised Secrets

If you suspect that your data has already been accessed, you should consider rotating your API keys. While the ANON_KEY is meant to be public, rotating it can help "reset" any automated scrapers that have cached your project details. If you accidentally committed your SERVICE_ROLE_KEY to GitHub, you must rotate it immediately in the Supabase settings. Use our secret scanner to check your repositories for leaks.

Comparing Security Across AI Platforms

• Bolt.new & v0: These platforms often generate similar Supabase-heavy architectures. If you don't explicitly prompt the AI to "Write secure Supabase RLS policies," it may skip them to save tokens or simplify the initial build. See our Bolt security guide and v0 security guide for more platform-specific tips.
• Cursor & Windsurf: Because these are local IDEs, the risk is even higher. Developers often copy-paste "working" code from AI suggestions that completely bypasses security best practices in favor of getting a feature to work. Check our Cursor security checklist for mitigation steps.
• Bubble & WeWeb: These "no-code" tools have their own versions of RLS, often called Privacy Rules. The logic is identical: if you don't define who can see what at the data level, your "hidden" elements in the UI are just a CSS trick. See the Bubble security guide and WeWeb security guide.

In SimplyScan's scans of 170 AI-built apps, we found that 10% of apps had high-severity security issues, primarily related to broken access control. Interestingly, the average security score was 85/100, proving that an app can look "healthy" and perform well on the surface while harboring a catastrophic backend flaw that exposes every user record.

Why AI Visibility and Security Must Coexist

This is a major issue for apps that rely on organic traffic or AI Visibility (AEO). If your app is flagged as insecure by search engines or AI crawlers, your visibility will plummet.

To maintain a balance between accessibility and security:

• Public Tables: Create specific tables for public content (like blog posts or public profiles) and set an RLS policy that allows SELECT for all users (USING (true)).
• Private Tables: Keep user-specific data, settings, and private messages behind strict auth.uid() policies.
• Sitemaps: Use our meta tags generator to ensure that only your intended public pages are being served to crawlers, preventing them from trying to index "protected" but insecure routes.

The Future of Vibe Coding Security

As we move through 2026, the tools are getting smarter. Lovable and other platforms have already begun integrating "Security by Design" into their generation engines. However, the responsibility ultimately lies with the developer. AI is a co-pilot, not a security officer. It will prioritize "vibes" and "working code" over "secure code" unless instructed otherwise.

• Continuous Monitoring: Don't just scan once. Use Pro Monitoring to get scheduled rescans of your production environment every time you push an update.
• SSL/TLS Health: Ensure your transport layer is secure and that you aren't vulnerable to man-in-the-middle attacks using our SSL checker.
• Validation: Use a verified security badge to show your users that your AI-built app has been audited for common leaks and misconfigurations. This builds trust in an era where AI apps are often viewed with skepticism.

Conclusion: Don't Let Speed Compromise Safety

By taking 30 seconds to run a free SimplyScan audit, you can identify if your Lovable app is part of the 10% with critical vulnerabilities. CVE-2025-48757 is a reminder that the "backend" hasn't disappeared; it has just moved.

Security in the AI era isn't about writing perfect code; it's about using the right tools to verify the code the AI writes for you. Enable RLS, verify your sessions on the server, and keep your "anon" keys restricted to the permissions they actually need. Your users · and your reputation · depend on it. If you are building with AI, you are a security engineer by default.

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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?

Yes, for legacy apps and new projects where RLS is manually disabled. While Lovable updated their default generation templates in 2025 to include better security defaults, any application built before that date · or any app where a developer manually altered the database schema · remains at risk. Security is a continuous process; you must verify that every new table created by AI still follows the "Default Deny" principle.

How do I check if my Lovable app is affected?

The fastest way is to use a security scanner that specifically looks for Supabase RLS signals and unauthenticated data leaks. Manually, you can check your Supabase Dashboard under Authentication > Policies. If any table containing sensitive user data has RLS disabled or a policy that allows true for all users, your app is affected and your data is currently public.

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

Yes. RLS is your last line of defense. Even if an attacker steals a user's session token or finds a way to bypass your frontend login screen (for example, by spoofing a local storage object), the database itself will check the user's ID against the row's owner. If the IDs don't match, Supabase will return an empty array or an error, keeping the data safe.

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

Yes. This is a "pattern" vulnerability, not a bug unique to one platform. Platforms like Bolt.new, v0, and Replit often generate frontend-heavy code that interacts directly with a BaaS. If the developer doesn't explicitly secure the backend (Supabase, Firebase, or a custom API), the app will likely suffer from the same broken access control issues identified in CVE-2025-48757.

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 vulnerability was discovered by security researchers who noticed a recurring pattern of missing RLS in AI-generated projects. Lovable responded by updating their "vibe" engine to automatically include RLS-enabled tables and server-side auth checks in new projects. They also released a post-mortem and migration guide to help existing users secure their databases and migrate to safer patterns. Developers are encouraged to perform regular audits to catch any regressions.