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100+ security checks. One URL. Thirty seconds.

Point it at what your team shipped — production, staging, or an AI-built prototype. 100+ checks run in parallel against the live app, Supabase RLS tested for real, and a connected repo adds code, dependency and secrets scanning.

How it works

Four steps from setup to results.

  1. 01

    Add your app

    No installs, no agents to run. The live URL is enough to start; connect GitHub or GitLab to scan the code too.

  2. 02

    We crawl up to 500 routes

    SPA shells, sitemap entries, login flows, dashboard pages — wherever the surface area lives. How many routes and how deep both scale with your plan.

  3. 03

    100+ scanners run in parallel

    Headers, JS bundles, APIs, DNS, TLS, BaaS configs — every check fires concurrently against every discovered route.

  4. 04

    Findings ranked Critical → Low

    Severity is calibrated to exploitability, not noise. Every finding ships with the request, response, and an AI fix prompt.

Why it works

Built for teams whose code is increasingly written by AI.

  • Real browser, real responses

    We render JavaScript and follow redirects the same way Chrome does — not a single naive `curl -I`.

  • JS bundle inspection

    Source-map-aware extraction finds Stripe, OpenAI, Supabase, and Firebase keys leaked into client bundles.

  • SPA-aware route discovery

    Detects Next.js, Vite, Remix, and SvelteKit routes that never appear in a sitemap.

  • Severity calibrated to exploit

    A leaked dev anon key is not the same as a production service-role key. The scanner knows the difference.

Scan your site. Free until you find something.

Scan your site