BLOCKPHISH AI – Multi-Modal Real-Time Phishing Detection and Zero-Day Prevention System

BLOCKPHISH AI is a multi-modal, AI-powered phishing detection and prevention system designed to combat modern and AI-generated phishing attacks. With the rapid growth of digital services such as online banking, UPI payments, government portals, and cloud platforms, phishing attacks have become more sophisticated, realistic, and difficult to detect.

Today’s phishing attacks use cloned websites, fake login pages, QR-code fraud, newly registered malicious domains, and AI-generated emails that closely imitate legitimate communication. Traditional security tools primarily rely on signature-based detection, which means they can only block known threats. They often fail to detect zero-day attacks and AI-generated scams.

BLOCKPHISH AI addresses this gap using a layered intelligence approach that combines:

• Natural Language Processing (NLP) for detecting phishing language patterns in emails and messages

• Computer Vision techniques to identify cloned logos, fake interfaces, and suspicious webpage designs

• Graph-based network intelligence to detect suspicious domain relationships and attacker infrastructure

The system analyzes content in real time and generates a risk score. Based on the risk level, it provides immediate user alerts such as Block, Warn, or Allow. This helps users make informed security decisions instantly.

The architecture follows a hybrid Edge + Cloud model. Sensitive content can be processed locally for privacy, while scalable cloud infrastructure handles advanced analysis and threat intelligence integration. The system is designed to integrate with browser extensions, email clients, and enterprise security dashboards.

BLOCKPHISH AI aims to provide scalable, privacy-aware, and future-ready phishing protection for individuals, enterprises, and government institutions. By focusing on behavior-based detection instead of only signature-based methods, the platform is built to adapt to evolving cyber threats.

This project contributes to strengthening digital trust, reducing financial fraud losses, and improving overall cyber resilience in an increasingly connected world.