Phishing Detection Using Machine Learning, Web Scraping, and Real-Time Alerts

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Phishing Detection Using Machine Learning, Web Scraping, and Real-Time Alerts

Siya Patil1, Shravani Pawar2, Sujeet Pawar3 , Abhishake Sawant4 ,Prof. Amol T. Take5

1,2,3,4,Undergraduate Students Computer Engineering Department , Zeal College of Engineering and Research

5Professor, Computer Engineering Department , Zeal College of Engineering and Research

Abstract -Phishing is one of the most prevalent and persistent threats to cybersecurity, affecting millions of users and organizations globally. This survey explores recent advancements in phishing detection methods, focusing on machine learning, web scraping, and real-time alerts delivered through browser extensions. By integrating these techniques, the proposed system improves the detection of phishing websites and phishing emails in real-time, reducing the user's exposure to cyber threats. The paper also reviews the limitations of existing solutions and provides recommendations for future research directions.

Key Words: Phishing Detection, Machine Learning, Web Scraping,Real-Time Alerts, Browser Extension, Cybersecurity

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