Detection of Phishing Websites

Abstract

Phishing attacks are one of the biggest security threats to personal and financial information on the internet. They are a type of cyber-attack where attackers pretend to be a trusted entity in order to trick people into revealing sensitive information, such as passwords and credit card numbers. To address this issue, a web application has been developed for detecting phishing websites. This application utilizes the Beautiful Soup library in Python to extract HTML and XML content and machine learning algorithms for detection. The application was created using the Streamlit software, making it user-friendly and easy to access through a web interface.