How much does a Lovable security audit cost?

Professional security audits for Lovable apps range from $99 (automated scan with expert review) to $5,000+ (manual penetration testing at enterprise agencies). notelon.ai offers comprehensive audits starting at $99 for Pro and $299 for Enterprise.

What are the most common Lovable security vulnerabilities?

The top issues are: missing Supabase Row Level Security policies (10.3% of apps), hardcoded API keys in React components, client-only authentication without server verification, open CORS policies, missing rate limiting, and exposed environment variables in GitHub repos.

Does Lovable have built-in security?

Lovable recently partnered with Aikido Security to add automated pentesting before publish. This catches some issues, but Aikido's agent swarm testing focuses on deployed app behavior, not source code patterns, hardcoded secrets, or architecture flaws. A separate code-level audit is still recommended.

10.3% of Lovable apps have critical RLS flaws

Lovable Security Guide

12 things to fix before launching your Lovable app. With code examples, copy-paste fixes, and a free scanner to check your work.

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Why Lovable Apps Ship Insecure

Lovable generates 200,000+ new projects daily. It hit a $6.6B valuation in early 2026. The speed is real. But AI models optimize for functional code, not secure code.

When you prompt Lovable to "add authentication," it creates UI-level auth. Looks right. Works in testing. But without server-side enforcement, anyone with browser devtools can bypass it. Your data is one HTTP request away from exposure.

63% of Lovable users are non-developers. They ship what the AI generates. That's not a criticism. That's the reality the security model needs to account for.

10.3%

Lovable apps with critical RLS flaws

45%

AI code with security vulnerabilities

60%

Fail security scan on first run

The 12 Most Common Lovable Security Issues

CRITICAL

1. Missing Row Level Security (RLS) Policies

Lovable uses Supabase for its backend. By default, tables are created without RLS enabled. Any authenticated user (or anonymous user with the anon key) can read, write, and delete any row in any table.

FIX: Enable RLS and add policies

-- Enable RLS on your table
ALTER TABLE your_table ENABLE ROW LEVEL SECURITY;

-- Allow users to read only their own rows
CREATE POLICY "Users read own data"
  ON your_table FOR SELECT
  USING (auth.uid() = user_id);

-- Allow users to insert only their own rows
CREATE POLICY "Users insert own data"
  ON your_table FOR INSERT
  WITH CHECK (auth.uid() = user_id);

-- Allow users to update only their own rows
CREATE POLICY "Users update own data"
  ON your_table FOR UPDATE
  USING (auth.uid() = user_id);

Check every table in your Supabase dashboard under Authentication > Policies. If a table has no policies, it's wide open.

CRITICAL

2. Hardcoded API Keys in React Components

Lovable often generates code with API keys directly in component files. These end up in your Git history and are visible in the browser's source code. Even if you move them later, the old commits still contain them.

BAD: Key in component

// DO NOT DO THIS
const stripe = new Stripe('sk_live_abc123...');
const supabase = createClient('https://x.supabase.co', 'eyJhb...');

FIX: Use environment variables

// .env.local (never commit this file)
NEXT_PUBLIC_SUPABASE_URL=https://x.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhb...
STRIPE_SECRET_KEY=sk_live_abc123...  // server-side only

// In your code
const supabase = createClient(
  process.env.NEXT_PUBLIC_SUPABASE_URL!,
  process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
);

If keys were ever committed, rotate them immediately. Old commits are searchable. GitHub has automated secret scanning but it doesn't catch custom keys.

HIGH

3. Client-Only Authentication

Lovable generates auth checks in React components: if (!user) redirect('/login'). This only runs in the browser. Your API routes and Supabase queries have no idea whether the request is authenticated.

FIX: Server-side auth verification

// In your API route or server component
import { createServerClient } from '@supabase/ssr';

export async function GET(request: Request) {
  const supabase = createServerClient(/* config */);
  const { data: { user }, error } = await supabase.auth.getUser();
  
  if (!user) {
    return new Response('Unauthorized', { status: 401 });
  }
  
  // Now fetch data scoped to this user
  const { data } = await supabase
    .from('profiles')
    .select('*')
    .eq('user_id', user.id);
    
  return Response.json(data);
}

HIGH

4. Open CORS Policies

AI-generated code frequently sets Access-Control-Allow-Origin: * to avoid CORS errors during development. This lets any website make requests to your API and read the responses, including user data.

FIX: Restrict origins

// next.config.js
async headers() {
  return [{
    source: '/api/:path*',
    headers: [
      { key: 'Access-Control-Allow-Origin', 
        value: 'https://yourdomain.com' },
      { key: 'Access-Control-Allow-Methods', 
        value: 'GET, POST, OPTIONS' },
    ],
  }];
}

HIGH

5. Missing Security Headers

Tenzai research found 0 out of 15 security headers present in a sample of AI-generated apps. No Content-Security-Policy. No X-Frame-Options. No Strict-Transport-Security. Your app is wide open to clickjacking, XSS injection, and man-in-the-middle attacks.

FIX: Add security headers

// next.config.js
async headers() {
  return [{
    source: '/(.*)',
    headers: [
      { key: 'X-Frame-Options', value: 'DENY' },
      { key: 'X-Content-Type-Options', value: 'nosniff' },
      { key: 'Referrer-Policy', 
        value: 'strict-origin-when-cross-origin' },
      { key: 'Strict-Transport-Security', 
        value: 'max-age=31536000; includeSubDomains' },
      { key: 'Content-Security-Policy', 
        value: "default-src 'self'; script-src 'self'" },
      { key: 'Permissions-Policy', 
        value: 'camera=(), microphone=(), geolocation=()' },
    ],
  }];
}

HIGH

6. No Rate Limiting on Public Endpoints

Lovable-generated apps rarely include rate limiting. Your login endpoint, API routes, and form submissions can be hammered thousands of times per second. This enables credential stuffing, brute force attacks, and API abuse.

FIX: Add rate limiting (example with Upstash)

import { Ratelimit } from '@upstash/ratelimit';
import { Redis } from '@upstash/redis';

const ratelimit = new Ratelimit({
  redis: Redis.fromEnv(),
  limiter: Ratelimit.slidingWindow(10, '60 s'),
});

export async function POST(request: Request) {
  const ip = request.headers.get('x-forwarded-for') ?? '127.0.0.1';
  const { success } = await ratelimit.limit(ip);
  
  if (!success) {
    return new Response('Too many requests', { status: 429 });
  }
  // ... handle request
}

HIGH

7. Exposed .env Files in Git

Lovable connects to GitHub for version control. If your .gitignore doesn't exclude .env files (or if the AI committed one before you added the rule), your secrets are in your Git history. Public repos make this immediately exploitable. Private repos are one leaked invite away.

FIX: Remove .env from Git history

# Add to .gitignore
.env
.env.local
.env.production

# Remove from Git history (if already committed)
git filter-branch --force --index-filter \
  'git rm --cached --ignore-unmatch .env' \
  --prune-empty --tag-name-filter cat -- --all

# Then rotate ALL secrets that were exposed

HIGH

8. SQL Injection via Unparameterized Queries

AI sometimes generates raw SQL queries with string interpolation instead of parameterized queries. This allows attackers to inject SQL commands through input fields.

BAD: String interpolation

// VULNERABLE
const { data } = await supabase
  .rpc('search_users', { query: `%${userInput}%` });

FIX: Use Supabase query builder

// SAFE - Supabase handles parameterization
const { data } = await supabase
  .from('users')
  .select('*')
  .ilike('name', `%${userInput}%`);

MEDIUM

9. Missing Input Validation

Lovable generates forms that trust client-side validation. No server-side checks on data types, lengths, or formats. An attacker can submit arbitrary data directly to your API, bypassing any frontend validation.

FIX: Server-side validation with Zod

import { z } from 'zod';

const CreateUserSchema = z.object({
  email: z.string().email().max(255),
  name: z.string().min(1).max(100),
  age: z.number().int().min(13).max(150),
});

export async function POST(request: Request) {
  const body = await request.json();
  const result = CreateUserSchema.safeParse(body);
  
  if (!result.success) {
    return Response.json(
      { error: result.error.issues }, 
      { status: 400 }
    );
  }
  // ... use result.data (typed and validated)
}

MEDIUM

10. Overly Permissive Supabase Storage Rules

File uploads through Supabase Storage often have public buckets with no access controls. User-uploaded files (documents, images, exports) are accessible to anyone who guesses or enumerates the URL.

FIX: Restrict storage access

-- Storage policy: users can only access their own files
CREATE POLICY "User files are private"
  ON storage.objects FOR SELECT
  USING (
    bucket_id = 'user-files' AND
    auth.uid()::text = (storage.foldername(name))[1]
  );

MEDIUM

11. No Error Handling (Information Leakage)

AI-generated code often returns raw error messages to the client, including database schema details, file paths, and stack traces. This gives attackers a blueprint of your backend.

FIX: Generic error responses

export async function POST(request: Request) {
  try {
    // ... your logic
  } catch (error) {
    // Log the real error server-side
    console.error('API error:', error);
    
    // Return generic message to client
    return Response.json(
      { error: 'Something went wrong. Please try again.' },
      { status: 500 }
    );
  }
}

MEDIUM

12. Outdated Dependencies with Known CVEs

Lovable generates projects with dependency versions from its training data, which may be months old. The litellm supply chain attack (March 2026) showed that even "trusted" packages can be compromised. 47,000 downloads of the poisoned package happened in 46 minutes.

FIX: Audit and pin dependencies

# Check for known vulnerabilities
npm audit

# Update to patched versions
npm audit fix

# Pin exact versions in package.json
# Change "^1.2.3" to "1.2.3" for critical deps

# Use lockfiles (commit package-lock.json)
# Never run npm install without reviewing changes

Don't Want to Do This Yourself?

Professional security audits catch what checklists miss. Here's what it costs:

DIY (This Guide)

Free

You fix everything yourself. Works if you understand the code.

notelon.ai Audit

$99

50+ automated checks + expert review. Report with AI fix prompts.

Get Audited

Enterprise Agency

$2,000+

Manual penetration testing. 3-5 business days. Overkill for most Lovable apps.

Frequently Asked Questions

Is my Lovable app secure?

Probably not without manual review. 10.3% of Lovable apps have critical RLS flaws and 45% of AI-generated code has vulnerabilities (Kaspersky, 2025). Run a free scan to find out.

Does Lovable's built-in security scanning help?

Lovable partnered with Aikido Security in March 2026 to add automated pentesting. This catches runtime vulnerabilities in deployed apps. But it doesn't scan your source code for hardcoded secrets, architecture flaws, or dependency issues. You need both runtime testing and code-level review.

I'm not a developer. Can I still fix these issues?

Most fixes can be applied by pasting the code snippets from this guide into your Lovable project. For RLS policies and Supabase configuration, use the Supabase dashboard SQL editor. If you're not comfortable making these changes, our $99 audit includes AI fix prompts you can paste directly into Lovable.

How long does a security audit take?

Our Pro audit ($99) delivers results within 24 hours. Enterprise ($299) with manual review takes 2-3 business days. Traditional agencies quote 1-2 weeks at $2,000-5,000.