raven
Raven is a Python-based CI/CD security analyzer that scans GitHub Actions workflows and stores findings in Neo4j. It helps identify misconfigurations and security risks in CI/CD pipelines through automated workflow enumeration, indexing, and query-based vulnerability detection.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | CycodeLabs/raven |
| Owner | CycodeLabs |
| Primary language | Python |
| License | Apache-2.0 — OSI-approved |
| Stars | 742 |
| Forks | 45 |
| Open issues | 21 |
| Latest release | v1.0.9 (2024-05-01) |
| Last updated | 2025-02-24 |
| Source | https://github.com/CycodeLabs/raven |
What raven is
The tool downloads GitHub Actions workflows from public repositories or organizational accounts, indexes them into a Neo4j graph database, and runs predefined security queries to identify risky patterns. It provides a command-line interface for downloading, indexing, and reporting on workflow vulnerabilities.
Get the raven source
Clone the repository and explore it locally.
git clone https://github.com/CycodeLabs/raven.gitcd raven# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires local or cloud-hosted Neo4j and Redis instances; docker-compose setup is provided but adds operational complexity.
- GitHub authentication recommended for larger scans; unauthenticated API calls will hit rate limits quickly on organizational scans.
- Data retention and privacy considerations apply when storing workflow configurations; ensure compliance with org policies before scanning third-party repos.
- Query library is pre-defined but extensible; teams should validate detection rules match their specific risk model.
- Performance scales with workflow dataset size; initial indexing of large organizations may require tuning or distributed runs.
When to avoid it — and what to weigh
- Requires External Infrastructure — Setup requires Docker, Neo4j, and Redis. Organizations without containerized deployment capability will face operational overhead.
- Limited to GitHub Actions — Tool only supports GitHub Actions; it does not analyze GitLab CI, Jenkins, CircleCI, or other CI/CD platforms.
- API Rate Limiting Sensitivity — Large-scale scans of public repositories depend on GitHub API availability. Unauthenticated or low-rate-limit accounts may experience throttling.
- Query Library Maturity Unknown — Predefined vulnerability detection queries are not fully documented in provided data; effectiveness depends on research quality and update cadence.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI-approved license allowing commercial use, modification, and distribution with liability and trademark protections.
Apache-2.0 permits commercial use without restrictions, including embedding in proprietary tools or services. No license fee required. Ensure compliance with Apache-2.0 terms (retain notice, state modifications). Consult legal if incorporating into closed-source commercial offerings.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
Tool is designed to find security issues but does not itself guarantee secure operation. Consider: (1) Raven stores workflow data in Neo4j; ensure database is not exposed to untrusted networks. (2) GitHub tokens used for downloading are sensitive; rotate and restrict scope. (3) Findings may expose internal CI/CD patterns; secure reporting channel recommended. (4) No built-in encryption for data at rest or in transit beyond Neo4j/Redis defaults; add network encryption if needed. (5) Dependency chain: validate neo4j and redis versions are patched. (6) Third-party action analysis relies on predefined queries; new attack vectors may not be detected.
Alternatives to consider
GitHub Advanced Security (GHAS)
Native GitHub offering with native integration, but limited to code scanning and secret detection; does not provide CI/CD workflow analysis or graph-based relationship tracking.
Bridgecrews (Checkov)
Broader IaC and CI/CD scanning (supports multiple platforms), but less specialized for GitHub Actions and does not provide graph-based workflow relationship analysis.
StepSecurity SLSA
Focused on SLSA provenance and artifact integrity; complements but does not replace workflow-level vulnerability scanning that Raven provides.
Build on raven with DEV.co software developers
Install Raven today to identify hidden risks in your GitHub Actions workflows. Free, open-source, Apache-2.0 licensed.
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raven FAQ
Does Raven scan private repositories?
Can I integrate Raven into my GitHub Actions?
What CI/CD platforms are supported?
How often is the query library updated?
Software development & web development with DEV.co
DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If raven is part of your open-source security roadmap, our team can implement, customize, migrate, and maintain it.
Start Securing Your CI/CD Pipelines
Install Raven today to identify hidden risks in your GitHub Actions workflows. Free, open-source, Apache-2.0 licensed.