Multimodal PE Malware Family Classification

This repository provides an end-to-end pipeline for malware family classification using multimodal data:

• Static features
• Dynamic behavior features
• Visual features from binary-to-image representations

The project compares fusion strategies at scale:

• Early fusion
• Expert selection
• Late fusion

It includes data preparation, feature extraction, model training, explainability scripts, statistical comparison, and visualization utilities.