IDENTIFYING PHISHING LOGIN URLS: A PRACTICAL APPROACH FOR PHISHING URL DETECTION

Criminals trick users into giving over sensitive information by creating phony websites. This kind of attack is known as phishing. It has become a major threat to public security. Making fake signup pages that seem like real websites is a common way for hackers to get user credentials. By analyzing login URLs, this study aims to detect phishing URLs in real-life situations. The capacity of individuals to differentiate between legitimate and fraudulent websites has been made more difficult by the increasing complexity of phishing attempts. In order to trick people into giving up their login credentials, phishers often use legitimate service login screens, like those for social networking, email, and banking. In order to avoid financial loss, unauthorized access to personal information, and identity theft, people need to be able to recognize these phishing URLs. A technique for detecting phishing URLs, with a focus on logon URLs, is detailed in this study. This method incorporates analyzing site content, evaluating URL attributes, and applying machine learning algorithms. In order to determine if a URL is an effort at fraud, several criteria are used, including name similarity, SSL certificate authenticity, content analysis, and URL structure.