Static SCA vs. Dynamic SCA: Which is Better (and Why It's Neither)

Software Composition Analysis (SCA) tools, which identify vulnerabilities in application code, are divided into static and dynamic approaches, each with distinct advantages and limitations. Static SCA scans, used during the build phase, focus on completeness by analyzing all potential vulnerabilities in the source code and its dependencies, offering proactivity but often producing inaccurate or noisy results due to reliance on manifest files. In contrast, dynamic SCA scans, conducted at runtime, emphasize relevance by identifying exploitable vulnerabilities observed during execution, but they can miss unseen vulnerabilities and affect application performance. Despite enhancements from technologies like eBPF, dynamic scans remain limited to runtime observations. Endor Labs suggests a combination of static scanning with reachability analysis, allowing for a comprehensive view of an application's vulnerabilities, reducing noise, and focusing on truly impactful issues by determining if the application's code calls the vulnerable code.

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