white rAbbIt: Automated Android Malware Analysis

The growing sophistication of Android malware presents a critical challenge for reverse engineers and cybersecurity specialists. Traditional tools are often inefficient, leaving teams unable to keep pace with the sheer volume and complexity of malicious APKs.

This project delivers an automated Android malware analysis tool that combines static and dynamic analysis techniques with advanced machine learning to classify apps with precision. Designed specifically for reverse engineers and red team specialists, the tool provides explainable insights to enhance understanding and streamline efficient reporting.