Comparing Reachability Analysis Providers

Software Composition Analysis (SCA) tools are essential for modern application security teams to detect vulnerabilities in open-source dependencies, yet traditional tools often overwhelm users with irrelevant alerts due to a lack of context on how dependencies are used in application code. To address this, many SCA providers have introduced reachability analysis, which assesses whether a vulnerability is likely exploitable by determining if the vulnerable code is utilized by the application, and comes in two types: static and dynamic. The text focuses on static reachability analysis, discussing providers like Coana, Endor Labs, and Semgrep Supply Chain, which vary in their approach and capabilities. Coana excels in handling complex features in dynamic languages like JavaScript and Python, though its language support is limited, while Endor Labs targets large enterprises with strong support for statically typed languages but limited capability for dynamic languages. Semgrep offers a fast analysis restricted to direct dependencies, benefiting from integration with its broader SAST engine. Each provider has its strengths and limitations, emphasizing the importance of thorough research and evaluation to select the best fit for specific security needs.

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