SafeLink Analyzer Using Machine Learning

Abstract: Phishing remains a significant cyber threat that deceives individuals into accessing fraudulent websites, aiming to steal personal information. This study employs the Multinomial Naive Bayes and Logistic Regression machine learning algorithms to detect phishing URLs. We developed a web application using FastAPI and Python, providing users with a tool to verify the authenticity of URLs. Our findings indicate that these algorithms can effectively distinguish between phishing and legitimate URLs, thereby enhancing cybersecurity