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CYPHER_DETECTOR

Effective Phishing Detection Using ML – The machine learning model accurately detects phishing URLs by analyzing key features from URLs and webpage content. It provides automated, fast, and reliable

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Description

Phishing attacks are a major cybersecurity threat where attackers deceive users into revealing sensitive information. This project aims to detect phishing attempts using machine learning by analyzing email, URL, and website features. Machine learning models learn patterns from phishing and legitimate data to improve detection accuracy. Unlike traditional rule-based methods, these models adapt to evolving attack strategies. This approach enhances cybersecurity by providing automated, real-time phishing detection

Progress During Hackathon

IT IS FULLY WORKING AND WE MADE THIS IN 36 HOURS

Tech Stack

Python
React
HTML
JS
CSS
TSx

Fundraising Status

SUBSCRIPTION BASED MODEL