Rotating AWS GovCloud secrets after repo disclosure
AWS GovCloud credential leakage gets messy fast when secrets sit in a public repository and contractor access sits outside normal control paths. Once a key has landed in GitHub public repositories, the clock starts on two fronts: revocation and discovery of every copy already made. Secret scanning only helps if it is turned on, monitored, and tied to a response that moves faster than the leak spreads.
Triage the disclosure before you touch rotation
Start by establishing what is actually exposed. A repository that holds plaintext credentials, commit history, or copied configuration files needs the same treatment as a live credential dump, not a tidy code mistake. If GitHub built-in secret protection was disabled, assume the repo was being used as a scratchpad rather than a controlled work area.
The first useful question is whether the leak is still limited to one repository or has already been picked up elsewhere. Public GitHub commits and event feeds can surface the same secret in more than one place, sometimes before the original repo is even noticed. That makes early triage a search problem as much as a revocation problem.
Revoke the exposed credentials and chase every dependent path
Credential revocation has to start with the exposed material itself, then move outward to anything that depends on it. Leave an active key in place while you are still checking downstream use and you create a split-brain mess where some services fail and others keep working for whoever found the secret first.
For AWS GovCloud access, key rotation needs to follow the path of least breakage. Rotate the credentials that gate direct access first, then move to anything that uses those credentials for automation, deployment, or cross-system access. If a secret unlocks multiple systems, one old copy is enough to keep the compromise alive.
Check GitHub public repositories and event history for copies
GitHub public repositories are only part of the problem. Public event history can expose commits, file names, and added content that defenders and attackers both watch. A secret that has already been committed can be copied from the event stream even if the repository is deleted later.
Search for every public trace of the same value, including forks, pasted snippets, and archived references. If the exposed item includes an RSA private key or a GitHub App secret, treat it as full account or repository access, not a single-purpose token. In one case, an exposed GitHub App key was enough to threaten repository reads, runner registration, CI/CD interference, and admin changes across an organisation.
Rotate AWS key rotation targets in the order that breaks least
Rotate the least connected secret first only if that buys time without leaving the most powerful credential live. A low-privilege access key tied to one service can be replaced before a wider admin token, but the wider token should not be left untouched just because the replacement is awkward.
The practical order is the one that cuts attacker reach fastest while preserving incident visibility. Remove credentials that give broad access to repository, runner, or deployment systems before touching low-value tokens that exist only to keep a single task running. If you flip the order, the leak can stay useful even after the obvious key has been disabled.
Close the gap that let contractor access bypass controls
This sort of leak usually comes from work data living outside managed storage. A contractor profile, a personal repository, or a local sync path can bypass the visibility that central secret scanning depends on. Once that happens, the organisation loses the main advantage of using a managed platform in the first place.
The fix is not more policy wording. The fix is stopping work secrets from being stored where scanning, audit logs, and access boundaries do not reach them. If contractor access can move secrets into a private workflow and then publish them from a personal account, the control failure sits with the process, not the scanner.
Stop local secret storage from outrunning secret scanning
Secret scanning cannot catch what never passes through the system it watches. Local copies, ad hoc sync repositories, and personal GitHub accounts sit outside the normal controls unless there is a hard rule against using them for operational data.
A sensible boundary is simple: secrets live in managed secret stores or approved automation paths, not in local scratchpads, not in personal repos, and not in commit history waiting to be rediscovered. If developers or contractors need a place for temporary material, that place should not sync to GitHub at all. Once it does, public exposure becomes an operational possibility rather than a hypothetical one.
Lock incident response into a repeatable handoff
Incident response fails when one person notices the leak and another person owns the credentials, while a third person is waiting for approval. A handoff needs to spell out who revokes which secret, who checks GitHub public repositories, and who confirms the leak has stopped spreading.
The handoff also needs a stop condition. If leaked credentials remain active for more than a day, the response has already become slower than the exposure path. That is exactly the sort of delay a public repository rewards, because GitHub event data never sleeps and attackers can watch it without being noticed.
