Phishing is a cybercrime that involves mimicking legitimate websites to deceive users into revealing sensitive data, such as usernames, passwords, account numbers, and national insurance numbers. It is one of the most widespread forms of cybercrime today. Machine learning, which centers on developing algorithms that improve automatically through experience, has been applied to detect phishing URLs. These methods typically analyze URLs by examining extracted features. This approach uses trained machine learning models to identify phishing websites and provides a detailed analysis of phishing attacks, comparing machine learning techniques for classifying legitimate and fraudulent websites.