Development of an AI-Powered Browser Extension for Real-Time Phishing URL and Malicious...

Objective: To engineer a browser plugin utilizing AI to detect phishing URLs and malicious emails in real-time, thereby reducing cyber fraud risks for Indian internet users.

Phishing attacks and malicious emails are a significant cybersecurity threat in India, targeting individuals, SMEs, and large organizations, leading to financial loss, identity theft, and data breaches. With the rapid increase in digital payments and online communications, Indian users are frequently exposed to sophisticated phishing campaigns that evade traditional security filters.

This project proposes the development of an AI-based browser extension that scans and analyzes URLs and email content in real-time using machine learning models trained on Indian and global phishing datasets. The plugin will warn users when suspicious links or emails are detected, leveraging natural language processing (NLP) and URL feature extraction techniques for robust detection accuracy.

The solution will feature seamless integration with popular browsers (Chrome/Edge/Firefox), real-time notifications, explainable AI-based decisions, secure user data handling, and a dashboard for threat analytics. The working model will be demonstrated with live phishing and malicious email scenarios, showcasing detection and user protection capabilities.

This tool can significantly reduce cyber fraud in India's rapidly growing digital ecosystem, aiding compliance with CERT-In advisories and digital trust initiatives. The system is scalable for enterprise deployment and can be extended to support regional languages and advanced threat feeds.