Out of 172 critical open-source projects, 55% contain memory-unsafe code, with the larger projects having a higher proportion. 10 largest projects have over 25% memory-unsafe code, with some exceeding 94%.
Memory-unsafe languages like C and C++ require manual memory management, leading to vulnerabilities. In contrast, memory-safe languages like Python and Java handle memory management automatically, reducing the risk of exploits.
Memory safety vulnerabilities are costly, leading to extensive efforts in patching and incident response. Even projects written in memory-safe languages can be vulnerable if they have dependencies on memory-unsafe components.
#open-source-projects #memory-unsafe-languages #vulnerabilities #software-security #memory-management
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