Find what's broken in your code before your users do.
Point the Code Audit at a GitHub repository. It reads the actual code, checks your dependencies, secrets, and configuration, and drives your live app in a browser — then hands back a prioritized, fix-ready report mapped to OWASP Top 10 & CWE. Read-only: no code changed, no pull requests, nothing deployed.
If a run fails to produce a report, you're not charged. More in the FAQ.
A code review, a scanner, and a QA tester — in one audit.
Most tools do one of these. The Code Audit runs them all and consolidates everything into a single severity-ranked report — and states plainly what it did and didn't get to, so nothing looks clean that wasn't checked.
Reads the actual code
An agent opens your controllers, guards, and queries — tracing each issue to a real line — across four specialist lenses. Not a filename scan.
Known-vulnerable packages
Resolves every dependency (npm, yarn, pnpm, PyPI, Go), checks it against the vulnerability database, and groups results into upgrade actions.
Committed keys & passwords
Scans the current code and 500 commits of history for real credentials — with an allowlist that ignores fixtures, so the count is trustworthy.
What breaks or exposes you
Install-breaking dependency conflicts, ineffective security headers, and risky CI / Docker / infrastructure config.
Drives your running app
Logs in with a test account and clicks through in a headless browser — surfacing crashes, failed loads, and slow pages real users hit.
Mapped to standards
Every finding tagged with its CWE and OWASP Top 10 category, with a coverage table — ready to hand to a security review.
A repo in. A report out. Nothing touched.
Point it at a repo
Connect a GitHub repository, and where to send the report. For live-app testing, add a staging URL and a test account.
It audits it, read-only
A clone is read, all checks run in parallel. No code is changed, no pull request is opened, no infrastructure is touched.
Get a fix-ready report
HTML and PDF — plain-language headlines for stakeholders, exact file:line and fixes for engineers or your AI assistant.
Readable by a founder. Actionable by a developer.
A real finding from an audit of a live multi-tenant app — the risk in plain terms, and the concrete fix.
A logged-in customer can reach another customer's data
The app decides which customer a request is for by reading a value the caller can freely set — before checking who's logged in. Nothing re-checks it, so a user of Customer A can put Customer B's ID in a request header and act on Customer B's data.
Add a guard that runs after authentication and asserts the request's tenant matches the logged-in user's on every tenant-scoped route. The report gives the exact file, line, and code path.
See what your codebase is hiding.
One flat price, one prioritized report you can hand straight to your team — or your AI assistant — to fix. Nothing is changed.