HashEye is a multi-layer malware detection system designed to analyze files and identify potential threats using multiple detection techniques.
• Integrated multiple detection engines including local hash database, YARA rules, VirusTotal API, and heuristic analysis
• Implemented risk scoring and generated detailed reports with indicators of compromise (IOCs)
• Built a web-based dashboard for file upload, scanning, and result visualization
• Designed asynchronous processing using Celery and Redis to support parallel file scanning
• Developed backend using Python (Flask) with PostgreSQL database and Bootstrap-based frontend
Technologies: Python, Flask, PostgreSQL, YARA, VirusTotal API, Celery, Redis, Bootstrap