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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 company delivering production systems to teams building on open source. Our engineers design, integrate, and ship across web, APIs, AI, data, and cloud. If raven is part of your open-source security roadmap, we 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.