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Cracking the Code: Solving the Challenges of C/C++ Software Composition Analysis

This whitepaper details Endor Labs’ novel approach to indexing open source dependencies and detecting vulnerabilities in C and C++ codebases, achieving 143% more true positives and 81% fewer false negatives, and significantly improving SCA accuracy.

This whitepaper details Endor Labs’ novel approach to indexing open source dependencies and detecting vulnerabilities in C and C++ codebases, achieving 143% more true positives and 81% fewer false negatives, and significantly improving SCA accuracy.

This whitepaper details Endor Labs’ novel approach to indexing open source dependencies and detecting vulnerabilities in C and C++ codebases, achieving 143% more true positives and 81% fewer false negatives, and significantly improving SCA accuracy.

Written by
Andrew Stiefel
Andrew Stiefel
Published on
June 18, 2025

This whitepaper details Endor Labs’ novel approach to indexing open source dependencies and detecting vulnerabilities in C and C++ codebases, achieving 143% more true positives and 81% fewer false negatives, and significantly improving SCA accuracy.

This whitepaper details Endor Labs’ novel approach to indexing open source dependencies and detecting vulnerabilities in C and C++ codebases, achieving 143% more true positives and 81% fewer false negatives, and significantly improving SCA accuracy.

The Challenge

The Solution

The Impact

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