LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution

ArXi:2605.05807v1 Announce Type: cross LLMs are increasingly explored for malware analysis; however, current LLM-based malware attribution remains limited by uned indicators and insufficient code-level grounding for identifying malicious and vulnerable code segments. To address these limitations, this research