Fix Your AI-Built Google OAuth Integration
Google's OAuth 2.0 authentication for signing in with Google accounts. AI tools implement insecure flows, skip state parameter validation, and mishandle token refresh.
Common Google OAuth issues we find
Problems specific to AI-generated Google OAuth integrations.
Missing CSRF state parameter validation
AI-generated OAuth flows don't generate or validate the state parameter, making the callback endpoint vulnerable to CSRF attacks that could link attacker accounts.
Using implicit grant flow instead of authorization code
Generated code uses response_type=token (implicit grant) which exposes tokens in the URL and is deprecated by Google in favor of authorization code with PKCE.
Refresh token not requested or stored securely
AI tools don't include access_type=offline in the authorization URL or store the refresh token securely, causing sessions to expire and requiring re-authentication.
ID token not verified on the server
Generated code trusts the ID token from the client without server-side verification using Google's public keys, allowing forged identity claims.
OAuth consent screen not configured for production
AI tools work with the testing consent screen (limited to 100 users) but don't document the steps to submit for production verification.
Start with a self-serve audit
Get a professional review of your Google OAuth integration at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Why does my Google OAuth login fail for external users?
Your OAuth consent screen is likely still in 'Testing' mode, which only allows explicitly added test users. AI tools never mention that you need to submit for verification to allow all Google accounts. We ensure your OAuth setup is production-ready.
Is my AI-generated Google OAuth flow vulnerable to CSRF?
If your code doesn't generate a random state parameter, store it in the session, and verify it matches on callback, then yes. This is one of the most common security issues in AI-generated OAuth code. We fix the full state management flow.
How do I keep users logged in with Google OAuth?
AI tools typically don't request a refresh token (requires access_type=offline and prompt=consent) or implement token refresh logic. Without this, access tokens expire after one hour and users must re-authenticate. We implement proper token refresh handling.
Related resources
Other Integrations
Need help with your Google OAuth integration?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.