Lovable
Replit

Lovable vs Replit Security

Lovable and Replit both enable rapid application development but take fundamentally different approaches. Lovable is an AI-first platform that generates complete full-stack applications, while Replit provides a collaborative IDE with AI assistance. Their security implications differ significantly, particularly around code visibility, database integration, and deployment models.

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Security Comparison

Category
Lovable
Replit
Code Privacy
Generated code is private, you control the repository
Free Repls are public, paid tiers required for privacy
Database Security
Supabase integration with RLS (often misconfigured by AI)
Various databases, security depends on implementation
Secret Management
Secrets in deployment platform (Vercel/Netlify)
Replit Secrets feature, but code visibility is the issue
AI Generation Risks
Full-stack generation often skips RLS configuration
AI assistance available, code review still needed
CVE History
CVE-2025-48757 affected 170+ apps (RLS misconfiguration)
No major platform CVE, individual app issues
Deployment Model
Deploys to Vercel/Netlify with enterprise security
Replit hosting or external deployment

The Verdict

Lovable provides better privacy for generated code but has a documented history of RLS misconfigurations (CVE-2025-48757). Replit's main risk is code visibility on free tiers. Both require careful security review - Lovable for database security, Replit for credential exposure. Neither platform's AI consistently generates secure code.

For Lovable apps: always verify RLS is enabled and properly configured on all Supabase tables before launch - this was the root cause of the CVE affecting 170+ apps. For Replit: use paid tiers for any production work and always use Replit Secrets. Scan both with VAS before going live.

Industry Security Context

When comparing Lovable vs Replit, consider these broader security trends.

10.3%

of Lovable applications (170 out of 1,645) had exposed user data in the CVE-2025-48757 incident

Source: CVE-2025-48757 security advisory

91%

of data breaches involve databases with misconfigured access controls

Source: Verizon Data Breach Investigations Report

4.45 million USD

average cost of a data breach in 2023

Source: IBM Cost of a Data Breach Report 2023

Vibe coding your way to a production codebase is clearly risky. Most of the work we do as software engineers involves evolving existing systems, where the quality and understandability of the underlying code is crucial.

Simon WillisonSecurity Researcher, Django Co-creator

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Frequently Asked Questions

What was CVE-2025-48757 and does it affect my Lovable app?

CVE-2025-48757 documented that 170+ Lovable apps had missing or misconfigured RLS policies, allowing unauthorized data access. The vulnerability was in user-generated apps, not Lovable's infrastructure. Any Lovable app with Supabase could be affected if RLS wasn't properly configured. Run a VAS scan to check your app.

Why is Replit's free tier a bigger security concern?

Free Repls expose your source code publicly. Even with Replit Secrets for API keys, your application logic, database schemas, API endpoints, and business rules are visible to anyone. This information can be used to find vulnerabilities even without seeing credentials. Always use paid tiers for anything beyond learning.

Which platform is better for building secure production apps?

Neither platform automatically produces secure apps - both require security review. Lovable's integration with enterprise hosting (Vercel/Netlify) and private repositories provides better infrastructure security. However, the CVE showed that AI-generated database security is unreliable. Combine either platform with thorough security testing.

How should I secure my database on each platform?

On Lovable: verify RLS is enabled on every Supabase table, write policies for all CRUD operations, and never expose the service_role key. On Replit: choose your database carefully, implement proper authentication, and ensure connection strings are in Replit Secrets. VAS can test your database security on both platforms.