Semgrep

A static analysis tool for identifying and mitigating vulnerabilities in codebases using Abstract Syntax Trees (ASTs).

Multi-Cloud Open Source Self Hosted + Cloud Options
Category Vulnerability Management
Last Commit 1 year ago
Last page update 18 days ago
Pricing Details Free and open-source with options for enterprise support.
Target Audience Developers and security teams looking to enhance code security.

Semgrep manages identifying and mitigating vulnerabilities in codebases by providing a robust static analysis tool. At its core, Semgrep leverages Abstract Syntax Trees (ASTs) to analyze code, allowing it to understand the semantic structure of the source code rather than just performing text-based searches.

The technical architecture of Semgrep is built around its ability to integrate into various development workflows, including CLI, CI/CD pipelines, and even within IDEs like Visual Studio Code. Written in OCaml for the core engine and Python for the CLI, Semgrep supports over 30 programming languages, making it a versatile tool for diverse development environments. The tool's rule syntax is designed to be similar to source code, enabling developers to write and customize rules without needing to learn a new domain-specific language.

Operationally, Semgrep is highly efficient, with a median CI scan time of just 10 seconds. This speed, combined with its ability to run without custom configuration using pre-defined rulesets, makes it an ideal choice for continuous integration environments. However, it's important to note that while Semgrep excels in intra-procedural analysis, it does not support interprocedural or interfile analysis in its open-source version.

Key operational considerations include the ease of integration with existing tools and workflows, as well as the extensive community-driven rule registry that provides out-of-the-box support for various security standards and best practices. For example, Semgrep has partnered with OWASP to provide compliance checks against ASVS Level 1 and Cheat Sheets recommendations. Despite its strengths, users should be aware that custom rule development and advanced features may require additional investment, particularly for complex codebases.

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