Secret leak detection

One leaked key may be all it takes to open your whole system.

Secret leaks are more common, and more dangerous, than you think

You and your team write code, configure services, and call APIs every day, with secrets and credentials everywhere. One slip, and a secret is committed into code, written into config, or left in a log. It sits there quietly, but anyone who gets it can use it to access your systems and data.

The common situations:

• A secret hardcoded into code for debugging, committed and forgotten
• A secret in git history, findable even after the current version is cleaned
• Credentials scattered across config files and logs
• You know a secret leaked, but it's a hassle, so you never revoke it, figuring "it's probably fine"
• You're not sure what a leaked secret can actually access or how bad it is

The industry data is sobering: tens of millions of secrets leak on public code platforms every year, and most are never revoked after leaking — many secrets leaked two or three years ago are still valid. One secret leak is enough to become a major intrusion.

That's what Mooth is here to find, judge, and help you clean up.

Three steps to clean up leaked secrets

If you're not sure whether a leaked secret is sitting in your code, run it free once and see whether you've left a key outside.

What Mooth focuses on

Not just finding secrets, but judging damage and guiding remediation:

Mooth's focus is closing the loop: not just telling you "there's a leaked secret here," but judging how dangerous it is and guiding you to handle it cleanly.

What a report looks like

Directly exploitable · Critical — a cloud service key leaked in code is still valid

Risk: a cloud service access key found in config/prod.js and git history, judged still valid.

Which door this key opens: this key can access your cloud storage and database. Anyone with a copy of the code can use it to read your production data directly.

Remediation steps: ① immediately rotate this key in the cloud console and revoke the old one; ② change the code to read the secret from an environment variable; ③ clean the leak record from git history; ④ check whether this key has had any unusual recent calls.

Note: the "secret" in test/mock.js is a test placeholder, not a real credential, and needs no action.

Every item spells out where the secret is, what it can access, and how to handle it, and helps you separate real leaks from test values.

Why Mooth differs from an ordinary secret scanner

It doesn't just detect, it closes the loop. Many tools just tell you "there's a secret here" and stop. Mooth judges the damage and gives clear rotation and revocation steps, helping you actually clean it up rather than finding it and leaving it.

It tells you which door the key opens. Not all secrets are equally dangerous. Mooth judges what systems and data a secret can access, so you know how urgently to handle it.

It doesn't scare you with test values. Lots of things in code that look like secrets are test placeholders. Mooth separates real credentials from test values, so no false alarms, and you focus on real problems.

It checks history. A secret may still be in git history even after the current version is cleaned. Mooth scans it too, surfacing the ones hidden in history.

It's for every developer. No security knowledge needed; follow Mooth's steps and clean up the leaked secrets.

Is your code safe

Detecting secrets means authorizing code or uploading files, so:

• Least-privilege, read-only: Mooth only reads what it needs to analyze and changes none of your code.
• Your source code is not retained: analysis runs and leaves; nothing enters any model training.
• Revocable any time: one click removes access, effective immediately.

Check for secret leaks now

No configuration, no docs to read. Authorize code or upload files, and within minutes you'll know whether secrets have leaked, how bad it is, and how to handle it — free the first time.

Better to find and clean up a leaked key now than to leave it sitting outside.