Security Research

Vibe Coding Security Research & Statistics

Research-backed data on security vulnerabilities in AI-generated code, vibe coding platforms, and no-code applications. Updated regularly with industry sources.

Key Research Finding

According to Stanford/NYU research, 40-62% of AI-generated code contains security vulnerabilities. Combined with the rapid adoption of vibe coding platforms (500,000+ developers), this creates a significant security challenge for the industry.

The CVE-2025-48757 incident demonstrated this risk when 10.3% of scanned Lovable applications were found to have exposed user data due to missing RLS policies.

AI-Generated Code Security

40-62%

of AI-generated code contains security vulnerabilities

Source: Stanford/NYU research on AI code security
36%

of code generated by AI coding assistants contains security weaknesses

Source: GitGuardian State of Secrets Sprawl 2024
70%

of developers now use AI coding assistants in their workflow

Source: GitHub Octoverse 2024
25%

of Y Combinator Winter 2025 startups had codebases 95% AI-generated

Source: Y Combinator
94

Chromium security vulnerabilities (CVEs) affecting Windsurf IDE in 2024

Source: Chromium Security Advisory
38%

of AI-generated code suggestions accepted by developers contain security issues

Source: Security Research on Copilot Usage Patterns
3.7x

faster development with AI tools, but 2.1x more security vulnerabilities introduced

Source: MIT AI Code Quality Study 2024

Vibe Coding Platform Security

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
500,000+

developers using vibe coding platforms like Lovable, Bolt, and Replit

Source: Combined platform statistics 2024-2025
2,000+

vulnerabilities found in analysis of 5,600+ vibe-coded applications

Source: Escape.tech vibe coding security research
400+

exposed secrets discovered across vibe-coded applications in 2025 research

Source: Escape.tech vibe coding security research
303

endpoints affected across 170 applications in the Lovable CVE-2025-48757 vulnerability

Source: CVE-2025-48757 security advisory
56%

of developers skip security configuration when using no-code/low-code platforms

Source: Gartner Low-Code Security Report

Database & Application Security

91%

of data breaches involve databases with misconfigured access controls

Verizon Data Breach Investigations Report
83%

of Supabase data exposures involve missing or misconfigured RLS policies

Security research on BaaS platforms
47,000+

MongoDB databases held for ransom in mass attacks during 2017-2020 due to exposed instances

Shodan Internet Census
100%

of tables need RLS enabled for production Supabase applications

Supabase Security Best Practices
4.45 million USD

average cost of a data breach in 2023

IBM Cost of a Data Breach Report 2023
12.8 million

secrets detected in public GitHub commits in 2023

GitGuardian State of Secrets Sprawl 2024
1 in 10

code authors accidentally exposed a secret in 2023

GitGuardian research
48 hours

average time for attackers to exploit exposed database credentials

Cloud security research
277 days

average time to identify and contain a data breach

IBM Cost of a Data Breach Report 2024
80%

of security breaches involve web applications as the attack vector

Verizon DBIR 2024
15 minutes

median time for attackers to scan for and exploit newly exposed AWS credentials

Unit 42 Cloud Threat Report
6

critical security headers missing from average newly deployed web applications

Mozilla Observatory

Expert Perspectives on Vibe Coding Security

There's a new kind of coding I call 'vibe coding', where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.

Andrej KarpathyFormer Tesla AI Director, OpenAI Co-founder

It's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.

Andrej KarpathyFormer Tesla AI Director, OpenAI Co-founder

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

The problem with AI-generated code isn't that it doesn't work - it's that it works just well enough to ship, but contains subtle security flaws that are hard to spot.

Security Research CommunityCollective wisdom from security researchers

Row Level Security is not optional for production applications. Without RLS, your anon key grants full public access to your database.

Supabase DocumentationOfficial Supabase Security Guidelines

Service keys should never be used in the browser or exposed to customers. They bypass all Row Level Security policies.

Supabase DocumentationOfficial Supabase Security Guidelines

Security Best Practices from VAS Research

Enable RLS on every table that stores user data. Without RLS, your Supabase database is publicly accessible to anyone with your anon key—which is exposed in your frontend code by design.

Supabase security fundamentals

The most common security vulnerability in vibe coded apps isn't complex - it's simply forgetting to enable Row Level Security before deploying to production.

Common vulnerability patterns

API keys in your frontend code are visible to anyone who opens browser DevTools. If those keys provide write access to your database or third-party services, your app is compromised.

API key exposure

Security scanning should happen before deployment, not after a breach. Automated tools can catch 80% of common vulnerabilities in minutes.

Security best practices

Vibe coding is powerful for rapid prototyping, but production apps require security review. The speed you gain building can be lost tenfold responding to a breach.

Production readiness

Apply This Research to Your App

Don't become a statistic. Scan your vibe-coded application for the vulnerabilities identified in this research.