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CybersecurityAI-assisted

MEDUSA Security Testing Tool With 74 Scanners and 180+ AI Agent Security Rules

MEDUSA is an AI-driven Static Application Security Testing (SAST) tool featuring 74 specialized scanners and over 180 AI agent security rules. It is designed to address modern development challenges such as false positives and multilingual coverage. This…

JBy John MasonJan 27, 20262 min read

MEDUSA is an AI-driven Static Application Security Testing (SAST) tool featuring 74 specialized scanners and over 180 AI agent security rules. It is designed to address modern development challenges such as false positives and multilingual coverage. This open-source CLI scanner supports 42+ languages and file types, including Python, JavaScript, Go, Rust, Java, Dockerfiles, Terraform, and Kubernetes manifests.

Developers can install MEDUSA via pip and execute scans with a single command. It supports parallel processing for 10-40x speedups over sequential tools and produces reports in JSON, HTML, Markdown, or SARIF formats for CI/CD integration .

Version 2025.9.0 introduces an intelligent false positive filter, reducing noise by 40-60% through context-aware analysis. This includes detecting security wrappers and excluding test files. Smart caching optimizes rescan speeds by skipping unchanged files.

MEDUSA is compatible with sandbox environments such as OpenAI Codex by switching to sequential mode if necessary. Users are advised to configure a virtual environment, install medusa-security via pip, and use the commands medusa init and medusa install --all for automatic tool setup through winget, Chocolatey, or npm on Windows.

Pantheon Security has released MEDUSA, which excels in identifying high-impact vulnerabilities and scanning package locks for supply chain risks. The tool includes over 180 rules tailored for agentic AI, addressing OWASP LLM Top 10 2025 risks, such as prompt injection and tool poisoning.

MEDUSA is an AI-driven Static Application Security Testing (SAST) tool featuring 74 specialized scanners and over 180 AI agent security rules.
John Mason · Thehackingpost

CVE ID Description CVSS Score Affected Components

CVE-2025-55182 React2Shell pre-auth RCE via Flight protocol deserialization 10.0 React 19.0.0-19.2.0, Next.js 15.0.0-15.0.4

CVE-2025-6514 mcp-remote OAuth SSRF to OS command injection RCE 9.6 mcp-remote authorization endpoint

Upgrading React to 19.0.1+ and Next.js to 15.0.5+ mitigates React2Shell exposure. Specialized scanners address issues in files such as .cursorrules, CLAUDE.md, mcp.json, and rag.json. The command medusa scan . --ai-only isolates AI configurations for quick audits.

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MEDUSA supports tools like Claude Code, Cursor, VS Code, Gemini CLI , and GitHub Copilot with slash commands like /medusa-scan . Configuration via .medusa.yml allows exclusions and fail-on thresholds.

In performance tests, MEDUSA scans 145 files in 47 seconds with six workers, maintaining consistent speed across projects of varying sizes. It integrates seamlessly into CI/CD workflows , failing builds on high-severity findings.

Based on reporting by Cyber Security News.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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