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1. Reduce token permissions and secret exposure
A GitHub Actions workflow is executable code, and every action in a job should be treated as part of that job’s trusted computing base. A compromised or unsafe action may be able to use the credentials and repository permissions available to the job. Begin by declaring permissions explicitly and granting only what the workflow needs.
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GitHub describes read access to repository contents as a good default for GITHUB_TOKEN. Increase permissions only for the specific job that needs them; avoid granting write access at workflow level when only a release or deployment job requires it. See GitHub’s secure use reference for permission and action-hardening guidance.
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2. Secure third-party actions and workflow changes
Pin third-party actions to full-length commit SHAs. GitHub states that this is currently the only way to use an action as an immutable release; tags are easier to read but can be moved or deleted. Before pinning, verify that the SHA belongs to the intended action repository. Review action source and how it handles repository content, environment variables, and secrets. For the rationale and update practices, see GitHub’s secure use reference.
Make changes to CI security controls visible to reviewers. A CODEOWNERS rule for .github/workflows can require the appropriate maintainers to review workflow edits. Track action updates and advisories, and use Dependency Review when pull requests change dependencies.
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3. Add pull-request checks that match the risks
Different checks inspect different things; no single scanner establishes that a pipeline is safe. Use workflow-focused analysis for configuration and script risks, and dependency review for newly introduced packages.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware match| Check | What it examines | When and how to use it |
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| GitHub code scanning | Common vulnerable patterns, including workflow-related issues | Run against repository code and workflow files; review findings and remediate applicable issues. Eligibility and configuration depend on repository settings and plan. |
| OpenSSF Scorecards | Practices such as script-injection risks, token permissions, and action pinning | Use findings to identify areas for review and improvement; a passing result is not proof of security. |
| Dependency Review | Dependency changes introduced by a pull request, including known vulnerable packages | Add it as a pull-request check. If configured as a required status check, it can block merges that introduce known vulnerable packages. |
GitHub recommends code scanning and Scorecards for workflow risks, and documents Dependency Review as a way to inspect dependency changes. Read the workflow security guidance and Dependency Review documentation. Confirm feature eligibility and repository settings before making a check a merge gate. Treat scanner results as signals to investigate and fix, not as evidence that no vulnerabilities remain.
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4. Keep untrusted pull requests out of privileged workflows
The key question is whether code supplied by a contributor can run while a workflow has secrets or a privileged token. Avoid pull_request_target unless its privileged context is genuinely needed. In particular, do not check out, build, or run untrusted pull-request code in a pull_request_target workflow when secrets or a privileged GITHUB_TOKEN are available. GitHub explains this risk in its pull_request_target event guidance.
Apply the same trust-boundary thinking to other privileged triggers and to artifacts created by workflows that processed untrusted contributions. Keep release and deployment steps separate from untrusted build steps, and require explicit review or other appropriate controls before those privileged steps run.
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5. Prefer short-lived cloud credentials for deployment
When a cloud provider supports it, configure OpenID Connect (OIDC) so a workflow can exchange an identity token with the provider instead of storing long-lived cloud credentials as repository secrets. The provider’s trust policy should restrict which repository, workflow, branch, environment, or other supported identity can assume the role.
Exact identity claims and provider support vary and can change. Set the trust policy using current guidance for both GitHub and the provider rather than copying a broad example. GitHub’s OIDC deployment-hardening documentation covers the GitHub side.
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6. Add artifact provenance when consumers can use it
For binaries or packages that consumers need to verify, GitHub artifact attestations can associate a released artifact with its repository, workflow, commit, triggering event, and related build context. This provides provenance information; it does not guarantee the artifact itself is secure. Consumers still need to assess the source and decide what provenance evidence their acceptance policy requires. See GitHub’s artifact attestations documentation.
Put the checks in place in a useful order
- Set the permission baseline: declare workflow or job
permissions, start from read-only repository contents where practical, and add only the access each job needs. - Limit credential exposure: move sensitive values to GitHub secrets, pass them only to the jobs that need them, and add environment approval for sensitive deployment credentials where appropriate.
- Harden action references: verify third-party action repositories and pin references to full commit SHAs. Assign review ownership for
.github/workflows. - Configure pull-request checks: add workflow-oriented code scanning or Scorecards, and Dependency Review for dependency changes. Decide which checks should be required after confirming repository eligibility and settings.
- Review trigger and execution boundaries: ensure untrusted pull-request code cannot execute in privileged workflows with access to secrets or a powerful token.
- Harden deployment and release paths: use OIDC with a narrowly scoped provider trust policy where supported, and publish attestations for artifacts consumers are expected to verify.
Choose checks by what they protect
Before making a check mandatory, be clear about the risk it addresses and who owns its findings. Compare checks by what they inspect (workflow configuration, source, dependency changes, credentials, action references, or release artifacts), when they run (pull request, schedule, release, or consumption), and whether they report advice or enforce a required status. Also account for credential exposure, repository and language support, plan eligibility, provider support, update cadence, false positives, and who approves exceptions.
A check can reduce a specific risk only within its coverage and configuration. Required status checks help enforce merge policy, but they do not make privileged workflow design safe by themselves; likewise, provenance identifies build context but is not a security verdict on the artifact.
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