SECOPS

GitHub Secret-Scan Hit to Auto-Revoke and Rotate

When GitHub secret scanning flags a leaked credential in a repo, it auto-classifies the secret type, revokes the live key at the provider, mints a replacement.

CategorySecOps
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitHub secret-scanning alert webhookGitHubGitHub
  • LogicClassify secret type and check auto-rotate eligibility
  • ActionRevoke exposed key and mint replacement at providerHTTP webhook
  • ActionWrite new secret to encrypted storeAWS S3
  • OutputPost revocation summary to security channelSlack

What it does

Turns a GitHub secret-scanning alert into a closed-loop revocation. It reads the alert, identifies which provider the leaked key belongs to, calls that provider's API to revoke the exposed credential, generates a fresh one, and writes the replacement into your secret store so running services pick it up.

When to use it

Run this when you want exposed keys neutralized in seconds rather than hours. It is built for teams that have GitHub Advanced Security secret scanning turned on and want revocation to happen without a human in the loop for known, automatable key types.

How it works

  1. 1A GitHub secret-scanning alert webhook fires the moment a credential is detected in a push or existing code.
  2. 2A logic step matches the alert's secret type against a supported-provider map and branches on whether auto-rotation is allowed.
  3. 3An action calls the issuing provider over HTTP to revoke the exposed key and request a new one.
  4. 4The new secret is stored in AWS S3 (encrypted parameter bundle) for the runtime to consume.
  5. 5A Slack message posts the alert, the revoked key fingerprint, and rotation status to the security channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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