Problem
Fast product teams commonly ship JWT anti-patterns like long-lived tokens, weak HMAC secrets, and cookie misconfiguration that create direct account takeover paths.
Crawl your production web app, surface weak secrets, algorithm confusion risks, unsafe token storage, and broken validation patterns, then ship fixes with clear exploit evidence and remediation guidance.
Why teams buy this quickly
Fast product teams commonly ship JWT anti-patterns like long-lived tokens, weak HMAC secrets, and cookie misconfiguration that create direct account takeover paths.
Automated crawling and JWT analysis identify exploitable auth flaws, rank severity, and provide remediation details mapped to OWASP and CWE.
Engineering leads gain continuous security confidence in CI/CD without hiring dedicated appsec staff or running one-off consulting audits.
One plan built for Series A-C engineering teams that need security coverage without adding security headcount.
Starter Security Plan
Hosted checkout. Cancel anytime. Upgrade as your app and threat surface grow.
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Most static scanners flag generic JWT smells. This scanner actively crawls your deployed app, inspects real responses, cookies, and token flows, then maps findings to exploit paths your team can actually fix.
No. GitHub/webhook-triggered scans run asynchronously. Your pipeline can fetch the latest score and vulnerability delta via API to decide whether to block deployment.
Yes. Findings include priority, exploit context, and remediation steps tied to OWASP and CWE so product engineers can close auth risks quickly.
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