In light of the escalating threat posed by phishing attacks there is a critical need to address this challenge through the development of an AI and ML-powered solution. Leveraging WHOIS databases for domain insights the proposed tool aims to discern phishing from legitimate domains using backend code and content analysis. However an additional challenge lies in the integration of advanced email/SMS spam detection which is essential for creating a comprehensive defense against the evolving tactics employed by malicious actors in phishing attacks.
Here're some of the project's best features: * Phishing Threat Mitigation : AI ML rapidly identify phishing WHOIS enhances threat detection precision. * Spam Email/SMS Detection : Deploys advanced algorithms for proactive spam email and SMS detection * Automated Defense Mechanism : Automates identification of new websites ensuring robust defense against evolving threats. * Efficiency and Accuracy : Enhances threat identification accuracy using code content analysis and probability scores. * User-Friendly Interface : Offers diverse result formats for accessibility complemented by a user-friendly interface.1. installing requirements
``` pip install -r requirements.txt ```2. to run the project
``` python app.py ```       Technologies used in the project: * flask * html * css * python * ml# SecureClickV2