
Recent Study Identifies High-Risk Path Traversal Vulnerabilities in GitHub Projects
AIsecurity
A recent study has identified 1756 projects on GitHub that exhibit high-risk path traversal vulnerabilities. These vulnerabilities allow attackers to access sensitive files by manipulating file paths. The study also revealed that large language models (LLMs) can contribute to the spread of these vulnerabilities by incorporating vulnerable code into their suggestions. This discovery highlights a new challenge for software security, where artificial intelligence tools can unintentionally aid in the propagation of security flaws.