Security Issues in Framer AI Code

Framer code components that call external APIs must embed API keys in the client-side code, since there's no server layer. This exposes keys in the browser bundle. Forms built in Framer may submit to unvalidated endpoints. Framer's CMS access is controlled by Framer's own permissions, not custom auth

Use proxy services or Framer's integrations with form backends (Formspree, Typeform) to avoid embedding sensitive API keys. For data that requires a private API key, build a lightweight serverless proxy (Cloudflare Workers or Vercel Edge Functions) and call that instead of the API directly

Every Framer AI app needs authentication — verifying who the user is — and authorization — verifying what they're allowed to do. Check that every API route and server action verifies the user's identity before processing requests. Check that users can only access their own data. A common Framer AI pattern is adding auth to the UI but not the API, which means anyone with the endpoint URL can access data directly.

Never trust data coming from the client. Every form submission, URL parameter, and API request body should be validated server-side before processing. Use a schema validation library like Zod to define expected shapes and reject anything that doesn't match. This prevents injection attacks, data corruption, and unexpected crashes.

Configure security headers to protect against common web attacks: Content-Security-Policy to prevent XSS, Strict-Transport-Security to enforce HTTPS, X-Frame-Options to prevent clickjacking, and X-Content-Type-Options to prevent MIME sniffing. Most hosting platforms let you configure these in a headers file or configuration.

If your app handles user data, processes payments, or stores sensitive information, a professional security review is essential before launch. Our security scan ($19) checks for the most critical vulnerabilities, and our full security review service provides a comprehensive assessment with remediation guidance.