Supabase Auth is the authentication layer of the Supabase platform (an open-source Firebase alternative built on Postgres), providing email, social-login, and row-level-security-integrated user management for developers who also use Supabase's database and storage products. Our engine detects it through 1 script pattern and 2 HTML patterns tied to the Supabase client SDK's auth-session handling, distinct from — but related to — the signals used to detect Supabase's database product. Supabase can be self-hosted or used via its managed cloud; a detection doesn't distinguish between the two. Documented at supabase.com/auth.
Enter any URL to check if it was built with Supabase Auth. Instant results, no account required.
How we detect Supabase Auth — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
Script Patterns
1 patterns
HTML Patterns
2 patterns
Cookies
1 patterns
Open the website in your browser, right-click, and select "View Page Source". Search for supabase auth-specific patterns in the HTML.
Check the Network tab in DevTools for JavaScript files loaded from Supabase Auth domains.
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 Supabase Auth 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 Supabase Auth was used — with a confidence score.
There are several ways to detect Supabase Auth: (1) View the page source and look for Supabase Auth-specific class names or script URLs, (2) Check the Network tab in DevTools for requests to Supabase Auth CDN domains, (3) Use our free tool — we check 3 detection signals automatically.
Supabase Auth is used by thousands of websites worldwide. Our scanner has detected many Supabase Auth-built sites across different industries. You can scan any URL to check if it uses Supabase Auth.
Our Supabase Auth detection engine checks 3 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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