
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.
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.
