Phishing Detection Chrome Extension

This was my major project for my degree, where I focused on developing a Phishing Detection Chrome Extension to enhance online security. Using a phishing dataset, I trained a machine learning model to detect phishing websites based on over 40 features extracted from the URL.

Steps involved: Dataset & Model Training: I sourced a phishing dataset and trained the machine learning model using features like domain age, SSL certificate, presence of suspicious keywords, etc. The model was trained to classify websites as either phishing or safe.

Chrome Extension Development: I created a Chrome extension that integrates with the model to analyze websites in real-time. Whenever the user visits a website, the extension fetches features from the URL and sends them to the trained model for phishing detection.

User Interface: The extension displays a green icon for safe websites and a red icon for phishing websites.

When the icon is clicked, additional details about the website and its phishing detection status are displayed in a popup window.

Machine Learning and Web Security: This project allowed me to dive deep into cybersecurity and machine learning, bridging the gap between development and security. By integrating a real-time phishing detection mechanism into a widely used tool like Chrome, I aimed to improve online safety for users.

This project contributed significantly to my understanding of web security, machine learning, and extension development, and it was an important milestone in my degree.