Why Are All SCA Tools Wrong? The Limitations of Traditional Analysis Methods

Traditional Software Composition Analysis (SCA) tools often produce numerous false positives and occasionally false negatives. This issue arises because these tools typically rely solely on package manager data, which may not account for all dependencies, especially transitive ones. Consequently, they might overlook indirect dependencies or misclassify the scope of certain dependencies, leading to inaccurate assessments. To enhance accuracy, it's essential to treat source code as a primary data source, enabling a more comprehensive understanding of actual code usage and dependencies.  

https://www.endorlabs.com/learn/why-are-all-sca-tools-wrong

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