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Secure GitHub Actions secrets by treating workflow code, actions, tokens, and repository access as part of the credential boundary. Give each job only the permissions it needs, place each secret in the narrowest useful scope, keep privileged jobs away from untrusted pull-request code, pin third-party actions, and use OpenID Connect (OIDC) instead of long-lived cloud keys when your provider supports it. GitHub’s masking helps, but it cannot guarantee that every form of a secret will stay hidden.
Start with the threat model: a secret is usable by code
A value stored in GitHub’s secret store is not automatically safe. Any workflow step or action that can read a secret can potentially send it to a log, an external service, an artifact, a build output, or an attacker-controlled endpoint. A malicious change to workflow code, a compromised action, or an over-privileged contributor can therefore turn a correctly stored secret into an exposed credential.
Repository access is part of the same threat model. Anyone with write access to a repository can read its configured secrets through a workflow they are allowed to modify. Protecting secrets consequently requires both GitHub settings and ordinary repository controls: review who can push workflow changes, require pull-request review for workflow files, and monitor changes under .github/workflows/.
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- Grant the smallest possible token and cloud permissions.
- Make production credentials available only to a deployment job that needs them.
- Assume every third-party action in a privileged job is executable code inside that job’s trust boundary.
- Design pull-request workflows so untrusted source cannot reach deployment credentials or write-capable tokens.
Set restrictive workflow and job permissions
The GITHUB_TOKEN is created for each run. Its authority is controlled by the workflow or job-level permissions key. GitHub recommends a read-only default for repository contents, with individual jobs elevated only when a documented operation requires it. There is no universally correct permissions block: the required scopes depend on what each job actually does.
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Use a deny-by-default starting point
name: CI
on:
push:
pull_request:
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@<verified-full-commit-sha>
- run: ./ci/test.shThis permits checkout and other operations that only need repository contents. It does not grant broad write access to issues, pull requests, packages, releases, or deployments. If a job needs a different scope, declare it on that job rather than widening every job.
Elevate only the job that needs it
jobs:
publish:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- uses: actions/checkout@<verified-full-commit-sha>
- name: Publish package
run: ./ci/publish.shReview the action documentation and the API operation to determine the exact scope. A job that creates a release may need a release-related write permission; a job that only reads code should not inherit it. Keep deployment credentials and write-capable tokens out of test, lint, and build jobs.
Understand OIDC permission separately
For cloud federation, add id-token: write only to the job that requests an OIDC token:
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jobs:
deploy:
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@<verified-full-commit-sha>
- name: Deploy
run: ./ci/deploy.shid-token: write allows the job to request a GitHub OIDC token. It does not itself grant permission to modify cloud resources. The cloud provider’s trust policy and the identity mapped to the token determine what the deployment can do.
Choose the narrowest secret scope
GitHub provides repository, organization, and environment secrets. Choose the smallest boundary that matches the workflow’s use. A secret should not be organization-wide merely because several repositories might eventually need it.
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| Scope | Where it is available | Useful control | Availability timing |
|---|---|---|---|
| Repository | Workflows in that repository | Simple for a single repository; every eligible workflow in the repository may reference it | Read when a run is queued |
| Organization | Repositories permitted by the organization secret’s repository policy | Central administration with an allow-list of selected repositories | Read when a run is queued |
| Environment | Jobs that reference the named environment | Deployment boundary, environment protection rules, and required reviewers | Read when the environment-referencing job starts |
Use environment secrets for protected deployments
Put production credentials in a production environment rather than exposing them to every job. Configure required reviewers and any branch or deployment rules available in your repository settings. The deployment job must declare the environment:
jobs:
deploy-production:
environment: production
runs-on: ubuntu-latest
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@<verified-full-commit-sha>
- run: ./ci/deploy-production.shEnvironment secrets are read when this job starts. A required reviewer can therefore hold the job before the credentials become available, reducing the chance that an automatically triggered build uses production access.
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Know the current limits and naming rules
- Each secret can be at most 48 KB.
- An organization can have up to 1,000 organization secrets.
- A repository can have up to 100 repository secrets.
- An environment can have up to 100 environment secrets.
- If an organization makes more than 100 organization secrets available to a repository, a workflow can use only the first 100 organization secrets sorted alphabetically by secret name.
- Secret names are case-insensitive and stored in uppercase.
- Names cannot start with a number or use the
GITHUB_prefix.
Avoid putting structured documents, multiline bundles, or large configuration blobs into a single secret when separate values or an external secret manager are possible. Structure and transformations can make reliable log redaction less predictable.
Keep untrusted pull requests away from privileged credentials
Fork pull requests
For a pull request submitted from a fork, GitHub withholds secrets other than GITHUB_TOKEN. The token supplied to that workflow is read-only. This allows ordinary tests to run without handing a contributor’s fork access to repository credentials, but it can also cause a workflow that expects a secret to fail. Handle that case explicitly instead of trying to bypass the restriction.
Dependabot pull requests
Dependabot pull requests are subject to related credential restrictions. Treat them like other untrusted changes: run validation with read-only permissions and do not assume that repository or environment secrets are available.
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Be cautious with pull_request_target
pull_request_target runs in the context of the base repository and can access its secrets and a write-capable token according to the workflow permissions. That makes it useful for carefully designed labeling or review automation, but dangerous if it checks out or executes the pull request’s untrusted files. Never combine privileged credentials with arbitrary code from the contributor’s branch.
A safe pattern is to keep the privileged workflow limited to trusted, checked-in automation and send untrusted changes to a separate read-only workflow. If a privileged workflow must inspect a pull request, pass only controlled metadata to a fixed action or script; do not execute the pull request’s scripts, build hooks, or generated commands.
Prevent shell and expression injection
Event fields such as issue titles, branch names, commit messages, and pull-request text are attacker-controlled. Interpolating them directly into a shell program lets an attacker alter the command that runs.
Unsafe interpolation
- name: Comment on issue
run: echo "${{ github.event.issue.title }}"The expression is substituted before the shell receives the script. Quotes, command substitutions, newlines, or other shell syntax in the title can change its behavior.
Pass data as data
Prefer a maintained action’s input interface, with the event value supplied as an argument:
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- name: Process issue title
uses: example/issue-tool@<verified-full-commit-sha>
with:
title: ${{ github.event.issue.title }}If a shell step is unavoidable, place the value in an environment variable and quote the variable at the point of use. Keep the script itself fixed and avoid evaluating the value as code:
- name: Record issue title
env:
ISSUE_TITLE: ${{ github.event.issue.title }}
run: |
printf '%sn' "$ISSUE_TITLE"Do not use eval, construct shell source from context values, or concatenate untrusted input into command-line options without an appropriate parser. The same rule applies to values that are not secrets: an attacker can use a non-secret event field to reach a secret-bearing command.
Understand what log masking can and cannot do
GitHub attempts to redact a secret’s known value in workflow logs, but automatic redaction is not guaranteed. A secret can be transformed, encoded, split, compressed, serialized, or embedded in a larger value so that the resulting output no longer matches what GitHub knows to mask. Structured secret values are particularly awkward to redact reliably.
- Never print a secret for debugging, even when masking appears to work.
- Do not place secrets in command-line arguments when an environment variable or action input can avoid exposing them to process listings and diagnostics.
- Avoid writing secret-bearing values to artifacts, caches, summaries, annotations, or generated files.
- Use explicit masking for a sensitive value created during the job, before any command can print it:
VALUE=$(./ci/get-temporary-value.sh)
echo "::add-mask::$VALUE"
./ci/use-value.sh "$VALUE"Explicit masking is an additional safeguard, not permission to log the value. If a secret appears unredacted, delete exposed logs or artifacts where GitHub allows it, revoke or rotate the credential immediately, and inspect the workflow and action path that disclosed it.
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Storing a cloud access key and secret in GitHub secrets gives a workflow a credential that remains valid until someone revokes or rotates it. OIDC federation can instead issue a short-lived identity token for a job and let the cloud provider exchange it for temporary credentials. This removes the long-lived cloud key from GitHub’s secret store, but it is secure only when the cloud trust policy is restrictive.
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| Decision point | Stored cloud secret | OIDC federation |
|---|---|---|
| Credential lifetime | Long-lived until rotation or revocation | Short-lived token and provider-issued session, subject to provider rules |
| GitHub exposure | Secret is available to any permitted job that references it | No long-lived cloud key needs to be stored as a GitHub secret |
| Workflow permission | Only the permissions needed for the job’s GitHub operations | Usually id-token: write plus the GitHub scopes the job needs |
| Cloud trust | Usually tied to the stored key’s account or role | Must validate claims such as audience and subject |
| Approval boundary | Can be placed in an environment with reviewers | Can also be limited to an environment and a reviewer-gated deployment job |
| Failure mode | Stolen key may work until detected and rotated | Overly broad trust policy may let unintended repositories or workflows assume the role |
Configure both sides of the federation
- Enable the cloud provider’s GitHub OIDC integration and identify the expected token audience.
- Create a cloud role or service identity with only the deployment actions and resources required.
- Set a trust policy that requires the expected audience and a restrictive subject claim. Bind the subject to the intended repository and, where appropriate, branch, tag, environment, or reusable workflow.
- Add
id-token: writeonly to the deployment job, alongside the minimum GitHub permissions. - Use the provider’s supported login action at a pinned commit and request temporary credentials for the deployment.
- Test a non-production role first, then verify that a different repository, branch, or environment cannot assume it.
A trust policy that accepts any repository in an organization, or any workflow from the intended repository, is broader than most deployment boundaries require. OIDC removes one class of stored secret; it does not remove the need to constrain identity, permissions, and approval.
Treat actions and reusable workflows as supply-chain code
An action executes with the permissions and secrets available to its step or job. A tag such as @v4 can move to a new commit, while a compromised or poorly maintained action can read credentials exposed to it. Pin third-party actions and reusable workflows to a verified full commit SHA, and review the repository and release provenance before granting access to sensitive jobs.
- uses: actions/checkout@40c...<full-verified-commit-sha>A pinned reference is not permanently safe: it can contain a vulnerability or become stale. Maintain a process for reviewing and updating pinned SHAs, using automated dependency update tooling where appropriate, and test updates in a lower-risk workflow before changing a production deployment. Keep actions that need secrets in a small, dedicated job rather than placing them in every build step.
Build a safer deployment workflow
The following pattern separates untrusted validation from a reviewer-gated deployment. Adapt permissions and action references to the operations your repository actually performs.
name: Build and deploy
on:
pull_request:
push:
branches: [main]
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@<verified-full-commit-sha>
- run: ./ci/test.sh
deploy:
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
needs: test
environment: production
runs-on: ubuntu-latest
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@<verified-full-commit-sha>
- name: Authenticate with cloud provider
uses: example/cloud-login@<verified-full-commit-sha>
- name: Deploy
run: ./ci/deploy.sh- The test job receives no deployment credential and uses read-only contents access.
- The deploy job runs only for a push to the protected default branch, not for an arbitrary fork pull request.
- The production environment can require human approval before the job starts and its secrets become available.
- OIDC is requested only where it is needed; the cloud trust policy still determines the resulting cloud authority.
Audit checklist before enabling a secret-bearing workflow
- List every secret, its owner, purpose, expiry or rotation method, and the exact jobs that can read it.
- Move production values to an environment and configure required reviewers or equivalent protection.
- Set workflow-level
permissionsto the minimum baseline, then review each job’s overrides. - Confirm that fork and Dependabot pull requests cannot reach deployment jobs or write-capable tokens.
- Review every
pull_request_targetworkflow for checkout and execution of untrusted files. - Search workflow scripts for direct interpolation of event context into shell source.
- Check that secrets are not printed, uploaded as artifacts, written to caches, or included in summaries.
- Pin third-party actions and reusable workflows to verified full commit SHAs and schedule updates.
- For OIDC, test the cloud trust policy with an unintended branch, repository, and environment to verify that each is rejected.
- Document the rotation and incident procedure before the first production run.
Respond when a secret may have leaked
- Stop or disable the affected workflow and prevent additional runs from using the credential.
- Revoke or rotate the secret at the system that issued it; do not wait for log deletion to make it safe.
- Delete exposed workflow logs, artifacts, caches, and summaries where GitHub permits removal, while preserving only the evidence needed for the incident investigation.
- Review repository audit records, workflow changes, action versions, pull-request events, and outbound destinations to determine how the value was disclosed.
- Replace the credential in the correct repository, organization, or environment scope and update dependent systems.
- Add a regression check or policy rule so the same logging, permission, or trigger path cannot recur.
Rotation is required even if the value appeared masked: masking changes display, not the credential’s validity. If the incident involved a cloud role, review issued sessions and narrow the provider trust policy before re-enabling deployment.
When stored secrets remain appropriate
OIDC is preferable for supported cloud deployments, but not every service supports federation. A repository, organization, or environment secret can still be appropriate for a non-cloud API, a signing service, or a legacy system when you apply a short rotation interval, narrow permissions, environment approval, and strict job isolation. Store only the value the job needs, use separate credentials for production and non-production, and avoid copying a production secret into a broad organization scope.
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