Auth.js (formerly NextAuth.js) is an open-source authentication library built primarily for Next.js and other JavaScript frameworks, letting developers add login (OAuth providers, email, credentials) without a paid third-party identity platform. Our engine detects it through 2 HTML patterns tied to its default sign-in page markup and session-cookie conventions, since as a self-hosted library it doesn't load from an external CDN the way hosted identity platforms do. A detection indicates the site handles its own auth backend using this library rather than outsourcing it. Documented at authjs.dev.
Enter any URL to check if it was built with Auth.js / NextAuth. Instant results, no account required.
How we detect Auth.js / NextAuth — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
HTML Patterns
2 patterns
Cookies
3 patterns
Open the website in your browser, right-click, and select "View Page Source". Search for auth.js / nextauth-specific patterns in the HTML.
Our automated scanner checks all these signals at once and gives you an instant confidence score. Just enter any URL above.
You can detect if any website was built with Auth.js / NextAuth by using our free scanner above. Just enter the URL and we'll analyze HTML patterns, JavaScript files, CDN domains, and HTTP headers to determine if Auth.js / NextAuth was used — with a confidence score.
There are several ways to detect Auth.js / NextAuth: (1) View the page source and look for Auth.js / NextAuth-specific class names or script URLs, (2) Check the Network tab in DevTools for requests to Auth.js / NextAuth CDN domains, (3) Use our free tool — we check 2 detection signals automatically.
Auth.js / NextAuth is used by thousands of websites worldwide. Our scanner has detected many Auth.js / NextAuth-built sites across different industries. You can scan any URL to check if it uses Auth.js / NextAuth.
Our Auth.js / NextAuth detection engine checks 2 unique fingerprint signals, achieving high confidence results. We score each match and return a confidence percentage so you know how certain the detection is.
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