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

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.