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What counts as an exposed secret?
A value in frontend JavaScript is available to anyone who can load and inspect the app. That includes JavaScript bundles and, when accessible, source maps that make bundled code easier to read. OWASP’s guidance on mapping client-side execution paths identifies credentials in client code and exposed source maps as inspection targets.
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Not every key-looking string is private. Some services issue public or publishable keys intended for client-side use. Identify the provider and credential type, then verify the key’s intended restrictions—such as allowed services, website origins or referrers, applications, or IP ranges. An unrestricted key can still be abused even if the provider permits it to appear in frontend code.
The Tool Desk
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- Open the deployed app. Use the browser’s developer tools to inspect the page and identify the JavaScript files it loads. You can also inspect page source, but the loaded files are the important output to review.
- Review the bundles and accessible source maps. Search for credential-like strings, private keys, internal endpoints, sensitive routes, and configuration that should not be public. A source map may reveal more readable source than the minified bundle.
- Validate any suspicious value with its issuer. Determine whether it is a secret or a deliberately public key, and check its restrictions. Do not paste a complete suspected credential into a public issue, screenshot, article, or AI prompt.
A repository scan cannot substitute for this browser-side check: build steps may place values in delivered assets, and a scan limited to source files does not establish what the deployed site exposes.
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Search the repository, including Git history
Search source and configuration files for credential-like values, then run a secret scanner over the repository. Make sure the scan includes the full Git history, not just the current checkout. Removing a line or file in a new commit does not erase earlier commits or branches that may still contain the credential.
When a scanner reports a match, treat it as a lead rather than proof: scanners can miss unfamiliar formats and can flag harmless strings. GitHub’s secret-scanning guidance recommends identifying the credential type and provider, its repository, file and line, and the secret’s owner so the finding can be assessed and routed safely. Confirm a suspected credential through the issuer without exposing its full value.
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- Check the latest source and configuration files.
- Include old commits and branches in the scan.
- Use local or pre-commit checks, and add server-side checks rather than relying only on a developer’s machine.
- Schedule periodic full-history scans and monitor for public exposure where applicable.
GitHub notes that push protection does not cover every secret type by default. Secret scanning reduces risk, but no single scanner or commit-time control proves that a repository or app contains no exposed credentials.
What to do if you find a live credential
- Revoke or rotate it with the provider. Treat an active exposed credential as compromised. If revoking it immediately would interrupt service, GitHub’s remediation guidance describes generating a replacement and moving the application to it before revoking the old one where appropriate.
- Update the app’s legitimate secret storage. Put the replacement where the server-side application or deployment configuration can use it without shipping it to browsers. Confirm the app works with the replacement, then ensure the exposed credential is no longer active.
- Review provider activity. Check usage or access logs for activity you do not recognize, and follow the provider’s response process if you find it.
- Consider repository cleanup after rotation. History rewriting and notifying people who cloned the repository may be appropriate, but cleanup is secondary: it cannot invalidate the leaked credential. Do not treat a cleanup commit as remediation by itself.
Stop AI-generated code from reintroducing secrets
Keep live credentials out of files an AI coding assistant can read. OWASP’s Secure Coding with AI guidance recommends excluding files such as .env, .env.*, private keys, and credential files from assistant context, and storing secrets in environment variables, vaults, or encrypted stores instead of project files available to the AI tool.
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.gitignore controls what Git tracks; it does not stop an AI tool from reading a file directly. Exclude sensitive files in the assistant’s own context or workspace settings as well as keeping them out of version control.
- Use editor or pre-commit secret detection for early feedback.
- Enforce a server-side CI or push check so a local bypass is not the only barrier.
- Scan full history periodically, not only new changes.
- Review generated code and security-sensitive changes to build scripts, CI workflows, container files, and deployment configuration.
Controls differ in when they run—editor, pre-commit, push, CI, scheduled history scan, or public-repository monitoring—and in which standard or custom patterns they recognize. When choosing or configuring them, check whether findings can be validity-checked, how false positives and bypasses are handled, whether deployed browser bundles are covered, and what plan or hosting requirements apply. Keep a separate deployed-output check if your repository control does not inspect what the browser receives.
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What a clean scan can and cannot tell you
A clean scan means only that the configured checks did not identify a match in the material they scanned. It cannot rule out unknown credential formats, missed history or branches, values introduced during the build, or exposed data in deployed assets the scanner never inspected. Use repository scanning, full-history checks, and browser-side inspection together; treat each as a layer rather than a guarantee.
Quick Recap
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