Lovable Security Scanner
Find exposed secrets, database access issues and authentication weaknesses in your deployed Lovable app. Get evidence and fix guidance to take back to Lovable.
Enter your deployed app's URL. Review the findings, take the suggested fixes to your coding tool, and retest after making changes.
First scan free: issue counts and one finding revealed in detail. No card required.
Evidence you can act on
See what the scanner observed, the affected endpoint or file, and why it matters. Findings include remediation guidance, not just a score.
Use Export for AI to bring available findings into your coding tool. Review the changes and rescan to check the result.
What this scan cannot prove
VAS checks the deployed pages, scripts and endpoints it can reach. It does not read your Lovable workspace or inspect every private workflow. Authenticated checks require a configured test login; source code and business-specific permissions still need review.
Review the security checklistA working login does not prove your data is private
For Lovable apps using Supabase, database grants and Row Level Security policies must enforce the access you intend. VAS checks reachable data access paths, while a review with separate test users helps verify ownership rules.
AI Builds Fast, But Not Always Secure
Lovable makes development fast, but AI-generated code often skips security best practices:
- !Supabase tables without Row Level Security enabled
- !API keys hardcoded in frontend code
- !Missing security headers (CSP, HSTS, etc.)
- !Weak authentication configuration
Where Security Breaks in Lovable Apps
Built on Supabase (Postgres + RLS), Lovable applications share a recognizable fingerprint, which means attackers and automated scanners find them the same way every time. Based on real vulnerability patterns in Lovable deployments, the breakdown is 2 critical-impact issues, 3 high-impact, and 0 medium-or-lower.
Real-world observation
CVE-2025-48757: 170+ Lovable apps had exposed databases discovered and reported.
Complete Database Exposure via Missing RLS
Supabase tables without Row Level Security can be queried by anyone with the public anon key.
Fix: Enable RLS on all tables and write policies that verify auth.uid() matches data ownership.
API Key Theft from JS Bundles
OpenAI, Stripe, and other API keys hardcoded in frontend code are easily extracted.
Fix: Move all secrets to server-side functions. Use Supabase Edge Functions for API calls.
Account Takeover via Weak Auth
Missing email verification and weak passwords enable account compromise.
Fix: Enable email verification, enforce password requirements, add rate limiting.
Data Manipulation via Open RLS
Even if RLS exists, overly permissive policies allow cross-user data modification.
Fix: Audit policies to ensure proper ownership checks on all CRUD operations.
XSS via Missing Security Headers
Without CSP and other headers, injected scripts can steal sessions and data.
Fix: Configure security headers in hosting platform (Vercel, Netlify).
What We Check
Supabase Security
Checks discovered Supabase tables for data returned to public clients. The report distinguishes observed exposure from checks that could not establish access.
API Key Exposure
Scans your JavaScript bundles for exposed API keys from OpenAI, Stripe, and other services that should be server-side.
Authentication Security
Checks observable authentication behavior and reachable endpoints. Configure a test login for supported authenticated checks.
Security Headers
Checks response headers for missing or weak browser protections, with configuration guidance for the issues found.
What You'll Get
Why Lovable Apps Need Security Scanning
Lovable makes it incredibly easy to build full-stack applications with AI assistance. You can go from idea to deployed app in hours instead of weeks. But this speed comes with a tradeoff: security configurations that experienced developers handle automatically often get overlooked.
If your app uses Supabase, public client keys are expected in the frontend. Grants decide which table operations a role can attempt, and RLS policies determine which rows it can access. Enabled RLS with no applicable policy denies access by default; overly broad policies or disabled RLS combined with permissive grants can expose data.
VAS checks the deployed app for observable access issues, exposed secrets and missing browser protections. Each finding includes evidence and remediation guidance. Review proposed changes against your app's intended permissions, test them, then scan again to check the exposed behavior.
How Lovable Security Scanning Works
Submit Your URL
Enter your Lovable application URL. Our scanner automatically detects your tech stack and configures the appropriate security checks for Lovable.
Automated Analysis
We check the reachable app for exposed secrets, browser protections, authentication issues and database access problems. A standard scan typically takes a few minutes; blocked requests or incomplete coverage are reported.
Get Actionable Results
Receive a detailed report with prioritized vulnerabilities, severity ratings, and step-by-step remediation guidance with code examples specific to Lovable.
Common Questions About Lovable Security
What does a VAS scan of a Lovable app check?
VAS checks the deployed pages, scripts and endpoints it can reach for issues including supabase security, api key exposure, authentication security, security headers. The report records findings and coverage limits; it does not certify the whole app as secure.
What will I receive in the report?
Findings include severity, supporting evidence and remediation guidance. Your first scan is free, with issue counts and one finding revealed in detail. Paid report access unlocks every finding. Use Export for AI to bring available findings into your coding tool, review the proposed changes and retest.
Can a scan verify every permission and private workflow?
VAS checks the deployed pages, scripts and endpoints it can reach. It does not read your Lovable workspace or inspect every private workflow. Authenticated checks require a configured test login; source code and business-specific permissions still need review.
Does VAS change my code or database policies?
VAS provides recommendations, not automatic fixes. Adapt any suggested policy or code change to your data model, test that permitted users still have access and that other users do not, then rescan. Read checks alone cannot confirm insert, update or delete permissions.
What should I know before scanning a production app?
Only scan apps you own or have permission to test. Scan requests can trigger firewall rules, logs and rate limits. Review enabled checks, and use staging or dedicated test accounts for sensitive workflows. Active tests, where enabled, need separate care because they can make changes.
Remediation Playbook for Lovable
Priority-ordered fixes for the specific findings we see in Lovable apps. Critical items close data-exposure gaps; high items prevent compromise; medium items reduce attack surface. Applies to apps using Supabase (Postgres + RLS), the dominant Lovable stack.
1. Complete Database Exposure via Missing RLS
Why it matters: Supabase tables without Row Level Security can be queried by anyone with the public anon key.
How to close it: Enable RLS on all tables and write policies that verify auth.uid() matches data ownership.
2. API Key Theft from JS Bundles
Why it matters: OpenAI, Stripe, and other API keys hardcoded in frontend code are easily extracted.
How to close it: Move all secrets to server-side functions. Use Supabase Edge Functions for API calls.
3. Account Takeover via Weak Auth
Why it matters: Missing email verification and weak passwords enable account compromise.
How to close it: Enable email verification, enforce password requirements, add rate limiting.
4. Data Manipulation via Open RLS
Why it matters: Even if RLS exists, overly permissive policies allow cross-user data modification.
How to close it: Audit policies to ensure proper ownership checks on all CRUD operations.
5. XSS via Missing Security Headers
Why it matters: Without CSP and other headers, injected scripts can steal sessions and data.
How to close it: Configure security headers in hosting platform (Vercel, Netlify).
Verify the fixes stuck
Rescan after deploying a fix to check whether the original finding still appears. Compare the evidence and coverage with the previous report. For permissions and private workflows, also repeat the relevant tests with authorized and unauthorized test users.
Check your Lovable app
Find observable security issues in your deployed app, review the evidence and take the next steps with your coding tool.
Start with a free scan. See issue counts and one finding in detail, then decide whether you need full report access.
More on Lovable Security
Every angle of Lovable security, from the specific findings we detect to step-by-step fixes.
Lovable Security Risks
Specific risks we find in Lovable apps, with real-world examples.
Lovable Security Issues
Issues grouped by severity with detection and fix steps.
Lovable Best Practices
Remediation playbook derived from Lovable's actual failure modes.
Is Lovable Safe?
Honest assessment of Lovable's production readiness.
Lovable Security Checklist
Pre-launch checklist covering every finding class for Lovable.
How to Secure Lovable Apps
Step-by-step hardening guide for Lovable deployments.
Can Lovable Apps Be Hacked?
Attack vectors specific to Lovable and how they get exploited.
What People Say About Lovable Security
Community sentiment on Lovable security, compared with our scan data.
Lovable with your database
The security gaps we find depend on which database sits behind Lovable.