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InfoResearchPeer-reviewed
Large language model (LLM) for software security: Code analysis, malware analysis, reverse engineering
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Summary
This review surveys recent large language model (LLM) approaches to malware code analysis, covering detection, generation, real-time monitoring, reverse engineering and family analysis. It maps the research landscape, highlights key challenges and emerging innovations, and introduces notable datasets and specialized LLM models. The authors also emphasize the role of static analysis in malware detection.