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Baneado98

ci-sentinel

by Baneado98

ci-sentinel πŸ›‘οΈ

Security auditor for SEVEN CI ecosystems β€” GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Azure Pipelines, Bitbucket Pipelines and Travis CI β€” finds the supply-chain and injection flaws a YAML linter can't see, before an attacker's pull/merge request runs code with your repository secrets.

Available as an MCP server (for Claude / Cursor / any agent) and a pay-per-call HTTP API (x402 USDC or a prepaid card key).

Give it your .github/workflows/*.yml, .gitlab-ci.yml, Jenkinsfile, .circleci/config.yml, azure-pipelines.yml, bitbucket-pipelines.yml and/or .travis.yml (each file is auto-routed to the right analyzer) and get a CRITICAL / VULNERABLE / RISKY / HARDENED verdict with the exact flaws.

What it catches that a linter can't

Class

What ci-sentinel does

πŸ’‰ Expression injection (inter-step / inter-job taint)

Taints untrusted ${{ github.event.* }} (issue/PR title, body, comment, review, branch name, commit message, label name, fork repo identity, edited-from values) to a run: shell or actions/github-script sink β€” and follows it across steps.<id>.outputs.*, needs.<job>.outputs.*, env: vars, matrix values and reusable-workflow inputs.*. An attacker who hides the untrusted value behind an intermediate output is still caught; a per-file grep is not.

🎭 Pwn requests

pull_request_target / workflow_run that check out untrusted fork code in the privileged, secret-bearing context = arbitrary code execution with your secrets.

πŸ”‘ Token permissions

Excessive GITHUB_TOKEN scopes (write-all, contents:write, id-token:write), missing permissions: blocks, and secrets exposed to untrusted triggers.

πŸ” Reusable workflows

workflow_call callers passing untrusted data across the boundary as inputs.*, and secrets: inherit handing the full secret set to a reusable workflow on an untrusted trigger.

πŸ“Œ Action pinning

Third-party actions (and reusable-workflow uses:) on mutable tags/branches instead of a commit SHA (the tj-actions/changed-files-style hijack), resolved through the transitive action graph.

πŸ–₯️ Self-hosted RCE

Self-hosted runners reachable from public-repo PRs (RCE on your own infra), and OIDC id-token trust misuse.

…and the same depth for GitLab CI/CD (.gitlab-ci.yml)

Class

What ci-sentinel does

πŸ’‰ CI-variable injection

Taints untrusted GitLab variables (CI_COMMIT_REF_NAME/BRANCH/TAG, CI_MERGE_REQUEST_TITLE/DESCRIPTION/SOURCE_BRANCH_NAME, commit message/author, triggering-user fields) interpolated into script: β€” following the taint through variables: and extends: templates. Knows the SAFE vars (CI_COMMIT_SHA, CI_MERGE_REQUEST_IID, CI_PROJECT_ID, …) so it doesn't flag every $CI_.

🎭 Fork merge-request pwn

Jobs reachable from fork MR pipelines (merge_request_event, only: merge_requests) that carry secrets / a broad CI_JOB_TOKEN / id_tokens (OIDC), or that run privileged work (deploy/publish/kubectl/terraform) with no when: manual gate.

πŸ“¦ include: supply-chain

include: from a remote URL or another project/component on a moving (non-SHA) ref β€” foreign pipeline code merged into yours.

☣️ Artifact / cache poisoning

An untrusted job writes an artifact/cache that a privileged downstream job consumes and executes (needs:/dependencies: or a shared cache path) β€” a cross-job and cross-pipeline escalation.

…and five more CI systems, same taint model

Ecosystem

What ci-sentinel catches

πŸ”§ Jenkins (Jenkinsfile)

Command injection from params.* / env.CHANGE_* / ghprb* / SCM data into sh/bat/powershell (through environment{} bindings); credential-leak (credentials()/withCredentials printed or baked into a GString); Groovy evaluate()/load RCE; missing input() approval gate; unsafe agent any.

β­• CircleCI (.circleci/config.yml)

Shell injection from << pipeline.git.branch/tag >> / pipeline parameters into run:; unpinned orbs (@volatile / bare major); fork-PR context secret exposure with no type: approval gate; privileged deploy with no approval.

🟦 Azure Pipelines (azure-pipelines.yml)

Macro injection from $(Build.SourceBranch) / $(System.PullRequest.SourceBranch) / commit message into script:/bash:/pwsh:; untrusted templates from a foreign repo resource; fork variable-group secret exposure; unpinned repository resources.

πŸͺ£ Bitbucket Pipelines (bitbucket-pipelines.yml)

Shell injection from $BITBUCKET_BRANCH / $BITBUCKET_TAG / $BITBUCKET_PR_DESTINATION_BRANCH / commit message expanded unquoted into script:; secured/deployment-variable exposure on externally-triggerable PR pipelines; unpinned pipes (:latest); deployments with no trigger: manual gate.

🚦 Travis CI (.travis.yml)

Shell injection from $TRAVIS_BRANCH / $TRAVIS_PULL_REQUEST_BRANCH / $TRAVIS_COMMIT_MESSAGE expanded unquoted into a lifecycle hook; secure-env PR/fork secret exposure; deploy: stages with no on: branch/condition gate.

…plus two deep cross-domain detectors a one-shot agent can't replicate

Detector

What ci-sentinel catches

☁️ OIDC cloud-trust misconfiguration (Terraform / CloudFormation / GCP workload-identity / Azure federated-credential)

Models the cloud half of CI OIDC: the trust policy of the IAM role / WIF pool / federated app. Flags a sub condition with a broad wildcard (repo:org/*, repo:*), no sub condition at all (any workflow on the issuer assumes the role), a repo pinned but ref/environment unpinned (any branch assumes), the bare pull_request subject (fork-reachable), or an unpinned aud. Then correlates the IaC trust with the CI side (a workflow that mints id-token reachable from an untrusted trigger) and escalates to critical when the chain is reachable end-to-end. No single-file linter catches this β€” it spans the CI claim and the cloud trust policy.

πŸ”§ Jenkins shared libraries (@Library β†’ vars/*.groovy)

Taints an untrusted pipeline value (PR title / branch / build parameter) passed to a shared-library global-var step through the library's call() interior to an internal sh/bat sink β€” the Jenkins parity of orb/template/composite-action cross-file taint, invisible when reading only the Jenkinsfile. Also flags @Library imports on a mutable ref (a branch / default version) as supply-chain risk.

Each analyzer knows the SAFE variables (SHAs, numeric ids, trusted slugs β€” BITBUCKET_COMMIT, TRAVIS_PULL_REQUEST, pipeline.git.revision, …) and the SAFE OIDC trusts (sub pinned to repo:org/repo:ref:refs/heads/main / :environment:prod with aud set) so it doesn't flag every $VAR or every trust. Zero false positives on hardened configs.

It is a real static analyzer: a line-aware workflow YAML parser β†’ a model of triggers/jobs/steps/permissions/actions/outputs/needs β†’ an inter-step/inter-job taint resolver + permission + supply-chain detectors β†’ a scored verdict with per-finding file:line, the full taint path, concrete remediation, and a SARIF 2.1.0 report (with codeFlows) you can upload to GitHub code scanning.

…and it doesn't just flag β€” it FIXES, and it GRADES

Premium

What you get

πŸ”§ Auto-remediation (the exact fix)

For each finding ci-sentinel produces the concrete change: the corrected YAML/Groovy snippet and a unified diff you can apply β€” pin the action/orb/pipe to an immutable SHA/version, env-bind + quote the injected expression, drop write-all to least privilege, insert the manual/approval gate, pin the OIDC sub/aud, move the hardcoded secret to the store (and rotate it). Not "you have a bug" but "change THIS to THIS", with a confidence label (exact / template / guided) so you know what's drop-in vs. what needs a value filled. Findings carry a stable fingerprint for de-duplication, and the SARIF results carry inline fixes.

πŸ“‹ Compliance scorecard (A–F)

A CIS-like CI security benchmark scored A–F with a PASS / FAIL / WARN / N/A breakdown per control (least privilege, component pinning, no secrets to forks, no self-hosted on public PRs, OIDC pinned, no hardcoded secrets, no pwn checkout, gated deploys, no injection, no cross-job poisoning). Each control lists the finding ids that drove its verdict β€” defensible to a security team. A directly-exploitable critical flaw caps the grade (one open RCE/secret-exfil path dominates the posture).

πŸ›°οΈ Live threat-intelligence feed (the data moat)

Every uses: / orb / pipe in your config is checked against a live, server-side feed of KNOWN-compromised CI components, ingested on a cron from public sources β€” OSV.dev and the GitHub Security Advisory database (ecosystem=actions) β€” and merged onto a curated seed of the flagship incidents (tj-actions/changed-files CVE-2025-30066, reviewdog/action-setup CVE-2025-30154 and its transitive dependents, the aquasecurity/trivy-action tag force-push, Ultralytics). It knows that tj-actions/changed-files@v45 is poison and that the same action SHA-pinned to a clean commit or upgraded to @v46 is safe β€” a distinction a static YAML scan or a local linter cannot make, because it has no feed. The feed lives only on the hosted server (the thin client never carries it); GET /feed/status surfaces its freshness. A live reputation signal (stars / last-commit / archived / does-the-repo-still-resolve) additionally flags archived/abandoned components and dangling references that are takeover-bait. This is the access-moat that justifies the hosted, paid model: the value is the live DATA, not the compute.

πŸͺ€ Tag-rewrite & imposter detection (live refβ†’commit)

Give ci-sentinel the commit SHA you expected a mutable ref to be (from your lockfile/SBOM) and it resolves what the tag currently points at upstream β€” flagging a tag-rewrite / force-push (@v2 now runs a different commit than you reviewed β€” the exact tj-actions attack), a deleted/dangling ref, or a suspiciously recent move. It also pairs typosquat detection with the live reputation signal to confirm impersonation β€” actons/checkout (a near-miss of actions) whose repo is a freshly-stood-up, low-star or dangling imposter β€” vs. a legitimately-named small fork (no false positive). And because the feed is keyed by component identity, a compromised action is caught no matter which CI system references it (cross-CI) β€” the piece a mono-CI scanner structurally can't have.

Related MCP server: MCP Shamash

MCP server (free)

{
  "mcpServers": {
    "ci-sentinel": { "command": "npx", "args": ["-y", "ci-sentinel-mcp"] }
  }
}

Tool: audit_ci_security. Pass files (a map of workflow filename β†’ YAML) or source (one workflow). The free tier returns the verdict and how many issues of each kind were found.

Deep audit (deep: true) β€” two ways to pay

The deep audit returns every finding with file:line, the full inter-step/ inter-job injection taint path, the transitive action supply-chain graph, a concrete fix (corrected snippet + unified diff) per finding, an A–F compliance scorecard with a per-control breakdown, and a SARIF 2.1.0 document with inline fixes (uploadable to GitHub code scanning via github/codeql-action/upload-sarif).

  • πŸ’³ Card (Stripe) β€” buy a prepaid key at https://ci-sentinel.vercel.app/pro/checkout, then set "env": { "CI_SENTINEL_KEY": "<key>" } in your MCP config.

  • πŸͺ™ x402 (USDC) β€” AI agents pay per call automatically (USDC on Base), no signup.

HTTP API

POST /audit          # free, rate-limited β€” verdict + per-severity counts
POST /pro/audit      # deep β€” pay-per-call (x402) or Authorization: Bearer <key>
POST /mcp            # MCP-over-HTTP (free)
GET  /presence       # live active sessions (last 5 min)
GET  /                # this landing page
curl -X POST https://ci-sentinel.vercel.app/audit \
  -H 'Content-Type: application/json' \
  -d '{"files":{".github/workflows/ci.yml":"name: CI\non: pull_request_target\n..."}}'

Why hosted? (the moat)

The npm package is a thin client: it runs no analysis locally. The parser, taint engine, action-graph resolver and detector knowledge base run server-side only, behind the paywall β€” so the premium material (findings, evidence, taint paths, remediation) never lands on the caller's machine. A npm pack ships only dist/mcp.js, dist/mcpServer.js and dist/types.js; the engine is never in the tarball (verified automatically by npm run test:moat).

How the live feed stays live (the update pipeline)

The threat-intelligence feed is ingested, not hard-coded. A periodic job runs server-side:

  1. Fetch advisories from two public sources (no paid keys):

    • GitHub Security Advisory DB β€” GET /advisories?ecosystem=actions (public; GITHUB_TOKEN only raises the rate limit, it is not required).

    • OSV.dev β€” the GitHub Actions ecosystem, queried for the components we already track plus everything GHSA just surfaced (so OSV enriches them).

  2. Normalize each advisory into a ThreatRecord β€” owner/name split, incident class inferred from the advisory text (tag-rewrite / maintainer-compromise / malicious / CVE…), severity bucketed, the affected version range parsed into a selector, the fixed version captured (so an upgraded pin does not fire).

  3. Merge the rows onto the curated seed (ingestFeed: union refs, keep the worst severity, widen the affected range, de-dup by identity).

  4. Store the snapshot in Cloudflare KV. Every /pro/audit reads it back via kvFeedProvider, falling back to the compiled seed if KV is cold β€” so the detector is never blocked and never worse than the static baseline.

# run the refresh once (live: hits the real public APIs)
node scripts/refreshFeed.mjs
# dry run with no network (produces the seed-only snapshot)
CI_SENTINEL_NO_NET=1 node scripts/refreshFeed.mjs

Schedule it with Vercel Cron ({ "path": "/internal/refresh-feed", "schedule": "0 */6 * * *" }, guarded by FEED_REFRESH_TOKEN) or a scheduled GitHub Action that runs node scripts/refreshFeed.mjs. GET /feed/status reports the live snapshot's version, generatedAt and record count β€” the public freshness proof. None of this ships in the npm client.

Development

npm install
npm run build          # tsc
npm test               # engine + parser + taint + SARIF + autofix + compliance + corpus tests (851 checks)
npm run test:moat      # lock-proof: tarball ships no engine, deep degrades w/o pay
npm run dev:http       # local HTTP server (FORCE_LISTEN)

Heuristic static analysis of the workflow YAML you provide β€” it cannot see repo-level default token permissions, branch protections or org policy, and does not execute the pipeline. Treat findings as leads to verify.

Source & docs: https://github.com/Baneado98/ci-sentinel Β· MIT

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