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

The Large-scale Code-Centric Dataset (LCCD) is a malware analysis dataset containing ~34,700 binary samples with deep static analysis, AI-generated analysis, decompiled code, control flow graphs, threat intelligence data, and pre-built training data for machine learning. LCC-LLM is a comprehensive code-centric dataset designed to support Large Language Model (LLM)-based malware family attribution. The dataset includes decompiled C code, assembly instructions, function call graphs (FCGs), hex dumps, and rich metadata for both malware and benign executables, enabling advanced research in malware understanding, cyber threat intelligence, and AI-driven cybersecurity.