MalwareGuard: Trust Score Prediction System

In the rapidly evolving landscape of cybersecurity, the menace of phishing attacks looms large, necessitating innovative solutions to safeguard users and organizations alike. MalwareGuard is a cutting-edge Python-based cybersecurity tool meticulously crafted to counter cyber threats and fortify users' online experiences. This project aims at empowering users by providing real-time insights into the authenticity of domains, thereby significantly reducing the risk of falling victim to fraudulent schemes. Through a meticulous three-phase approach, this project delves into the development of a TrustScore system aimed at quantitatively assessing website trustworthiness. From data acquisition and parameterization in Phase 1 to leveraging machine learning models for TrustScore accuracy prediction in Phase 3, this project represents a significant stride towards enhancing online security. PhishTank database is integrated into the project to examine whether the domain is listed in the database of known phishing sites.