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How Far Have We Gone in Stripped Binary Code Understanding Using Large Language Models
April 16, 2024, 4:11 a.m. | Xiuwei Shang, Shaoyin Cheng, Guoqiang Chen, Yanming Zhang, Li Hu, Xiao Yu, Gangyang Li, Weiming Zhang, Nenghai Yu
cs.CR updates on arXiv.org arxiv.org
Abstract: Binary code analysis plays a pivotal role in various software security applications, such as software maintenance, malware detection, software vulnerability discovery, patch analysis, etc. However, unlike source code, understanding binary code is challenging for reverse engineers due to the absence of semantic information. Therefore, automated tools are needed to assist human players in interpreting binary code. In recent years, two groups of technologies have shown promising prospects: (1) Deep learning-based technologies have demonstrated competitive results …
analysis applications arxiv binary code code analysis cs.cr cs.se detection discovery engineers etc far language language models large maintenance malware malware detection patch reverse role security software software security software vulnerability source code understanding vulnerability vulnerability discovery
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