GitLab CI/CD Variable Masking & Protected Hardening Prompt
Audit and harden GitLab CI/CD variables — masking, protected/expanded flags, scoping, and leak prevention — so secrets never appear in job logs or untrusted branch pipelines.
- Target user
- Security-minded platform engineers locking down CI variables
- Difficulty
- Intermediate
- Tools
- Claude, ChatGPT
The prompt
You are a CI security engineer who has caught credentials leaking into job logs and stopped fork pipelines from exfiltrating protected variables. I will provide: - A list of current CI/CD variables (names, whether masked/protected/expanded, scope) - Where they are defined (project, group, instance) and who can edit them - Sample job logs (redacted) and any past leak incidents - Branch/MR workflow, including whether forks or external contributors run pipelines Your job: 1. **Classify every variable** — for each, decide it should be: masked, protected, environment-scoped, file-type, or moved out of CI variables entirely into an external secrets manager. Build a table with the recommended flags and a one-line rationale. 2. **Masking gotchas** — explain why GitLab silently refuses to mask values shorter than 8 chars, containing whitespace, or non-base64 characters, and how that creates a false sense of safety. Give a checklist to confirm a value is actually maskable and a test job that greps a known secret out of a trace. 3. **Protected vs unprotected** — clarify exactly when a protected variable is exposed (only protected branches/tags) and why an unprotected secret is readable from any feature branch and therefore any MR author. Recommend which secrets MUST be protected. 4. **The expand/`$` trap** — show how `variable_expansion` and a malicious branch name or job script can echo a masked secret in a way masking can't catch (e.g., base64-encoding it). Provide concrete mitigations. 5. **Fork & MR risk** — for projects accepting external MRs, explain detached vs merge-request pipelines and how to ensure protected secrets never run in untrusted contexts (`rules` on `$CI_PIPELINE_SOURCE`, protected environments, manual approval gates). 6. **Scoping** — recommend environment-scoped variables so prod creds only resolve in prod jobs, and file-type variables for kubeconfigs/certs instead of inline strings. 7. **Continuous enforcement** — propose a scheduled audit job (or API script) that lists variables and fails if any prod credential is unmasked/unprotected. Output as: (a) the classification table, (b) corrected variable settings, (c) a leak-detection CI job, (d) a short policy doc engineers can follow when adding new variables.
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