Year: 2025
Type: article
Abstract: With the increasing number of phishing attacks, users are often tricked into revealing sensitive information on fraudulent websites. This project aims to develop an automated phishing detection tool that enhances online security by identifying and analyzing suspicious login pages in real-time. Utilizing Selenium for web automation, the tool monitors browser activity, detects login forms, and assesses their legitimacy based on various indicators such as page content, URL structure, and login behavior. The system employs heuristic techniques to differentiate between legitimate and fraudulent pages, ensuring proactive protection against phishing attempts. Additionally, it alerts users whenever a potential phishing site is detected, providing an extra layer of defense against cyber threats. This project serves as a valuable tool for individuals and organizations to safeguard their credentials from malicious attacks. Key Words: phishing Detection, Cybersecurity, Web Automation, Selenium, Browser Security, Threat Detection, Login Page Analysis, Online Fraud Prevention, Heuristic Analysis, Automated Security Tool.
DOI: 10.55041/ijsrem44027
Authors: Subramanian PL, Sameer Ahmed Khan
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409307904