Next Generation of Phishing Attacks using AI powered Browsers

arXiv:2406.12547v1 Announce Type: new
Abstract: The increase in the number of phishing demands innovative solutions to safeguard users from phishing attacks. This study explores the development and utilization of a real-time browser extension integrated with machine learning model to improve the detection of phishing websites. The results showed that the model had an accuracy of 98.32%, precision of 98.62%, recall of 97.86%, and an F1-score of 98.24%. When compared to other algorithms like Support Vector Machine, Na\"ive Bayes, …

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