This project aims to detect and classify Windows executable files (.exe) using machine learning techniques. Through static analysis and pattern-based learning, the system identifies whether a file is Malware or Benign. Built with a Python backend and a simple web UI, this tool demonstrates a practical approach for cybersecurity analysis in real-time. It serves as a foundational model that can be extended into enterprise-level security tools or integrated with antivirus software and threat intelligence systems.