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Large language model (LLM) for software security: Code analysis, malware analysis, reverse engineering
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AI
DOI：10.1016/j.jisa.2026.104390.png)
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Abstract
En 中文
• A review of recent works on LLM applications in malware code analysis, summarizing current research trends. • First work exploring malware code analysis using LLMs, covering detection, generation, monitoring, reverse-engineering, and family analysis. • Investigation of how LLMs interpret source code semantics and structure to identify malicious behavior. • Insights into the role of LLMs in improving malware detection by recognizing and predicting code patterns. • Exploring the potential of LLMs to improve malware code analysis based on reverse-engineering process.
Keywords:
Large language models
Malware code analysis
Reverse engineering
Software security
Code pattern recognition
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3.7
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4.9K
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