Machine learning · Malware analysis

Malware CNN Scanner

A deployed platform that classifies executable samples across 25 malware families and adds entropy analysis, VirusTotal context and YARA generation.

Malware CNN Scanner case study

The problem

Malware family classification needs useful context and honest limitations, not a single unexplained score.

The approach

The system combines a PyTorch image classifier with file entropy, packing indicators, VirusTotal hash intelligence and YARA generation.

The outcome

A containerized, CPU-compatible research platform with a secured FastAPI service and responsive interface.

PyTorch → FastAPI → React
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