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HN
RMA – Compile Semgrep rules to native Rust/Tree-sitter matchers
RMA (Rust Monorepo Analyzer) is a high-performance, security-focused static analysis tool designed for rapid and accurate code vulnerability detection. Built using compiled Rust and Tree-sitter matchers, RMA is up to 10 times faster than Semgrep, offering efficient scanning with minimal overhead. It identifies a wide range of security issues, including injection attacks, server-side vulnerabilities, hardcoded secrets, weak cryptographic practices, and SSRF (Server-Side Request Forgery) vulnerabilities. RMA supports multiple programming languages and frameworks, and provides a range of features such as an interactive TUI for exploring vulnerabilities, real-time dependency CVE scanning via OSV.dev, and integration with GitHub Actions for CI/CD pipelines. The RMA Dashboard enhances team collaboration by offering historical trend analysis, AI-driven explanations, and auto-fix suggestions. Advanced capabilities include cross-file taint tracking, path-sensitive analysis, and symbolic execution for deeper security insights. RMA is lightweight, integrates with various package managers and IDEs, and includes a REST API for custom workflows. It supports custom WASM plugins, rule configuration, and suppression options. Additionally, RMA is open source, available under the MIT or Apache-2.0 license, and can be quickly installed via npm, Docker, or Cargo. Its performance benchmarks highlight its efficiency, making it a robust alternative to existing security scanning tools.
Keywords: #qwen3:14b, AI-powered explanations, API keys, AST, CLI, CVE, Cargo, GitHub Actions, Go, IDE, Java, JavaScript, JetBrains, Maven, Neovim, OSVdev, PR integration, PyPI, Python, RBAC, RMA, RMA Dashboard, Rust, SARIF, SQL injection, SSRF, Semgrep, TUI, Tree-sitter, VS Code, WASM, XSS, audit logs, auto-fix suggestions, baseline diffs, benchmark, call graphs, crypto, cryptographic, dependency CVEs, dependency scanning, deserialization, exec, forward taint propagation, hardcoded secrets, historical trends, injection, keyboard shortcuts, metrics, npm, parsing, path traversal, path-sensitive analysis, performance, plugin, real-time CVE detection, sanitizer recognition, scan, secrets, security, symbolic path conditions, taint flows, taint tracking, team collaboration, unsafe, vulnerabilities
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