AI RESEARCH
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
arXiv CS.AI
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ArXi:2604.20211v1 Announce Type: cross Logging code plays an important role in software systems by recording key events and behaviors, which are essential for debugging and monitoring. However, insecure logging practices can inadvertently expose sensitive information or enable attacks such as log injection, posing serious threats to system security and privacy. Prior research has examined general defects in logging code, but systematic analysis of logging code security issues remains limited, particularly in leveraging LLMs for detection and repair.