Phishing Attack Detector and Awareness Generator
J. Jennifer Ranjani, B Kamala, Kalaiselvi VKG, Aishwarya R, A. Backia Abinaya · 2024
Better detection and prevention measures are urgently needed as a result of the increase in phishing attacks. This paper presents a comprehensive phishing attack detector and awareness generator system through a browser extension. The extension will detect potential phishing attempts in real-time, alert users, and provide educational resources to help them recognize and avoid such threats and plays an awareness video related to the type of attack. Our system uses machine learning techniques to analyze the features of the website and determine the likelihood that it is a phishing website. By combining advanced machine learning algorithms with a constantly updated database of known phishing sites, the extension will offer robust protection. Our system is designed to be user-friendly and effective in preventing phishing attacks. The insights of this paper serve as proactive strategy which reduce the number of successful phishing attacks and increase user awareness of online security risks.