FRAMEWORK PLATFORM FOR IDENTIFICATION OF PHISHING DOMAINS/URLS
The goal of this project is to design and develop a framework platform for the identification of phishing domains and URLs. Phishing is a major cybercrime that uses social engineering and technical deception to obtain sensitive information such as financial data, emails, and other personal information from users. Cybercriminals create and host phishing websites and domains that appear similar to popular and trusted websites belonging to government and private organizations.
The system should have a whitelist of trusted domains commonly used by the public and continuously crawl the web and open-source platforms to find near matches for these whitelisted domains and flag them. The system should also generate reports with relevant information such as WHOIS records, Internet Protocol (IP) address, SSL certificate attribution, domain hosting details, source code, similar websites, and other domains hosted on the same domain. The system should be able to handle large amount of data and should be able to scale with the growing need of the user. Additionally, the system should be able to categorize the domains as malicious and non-malicious for further analysis. The system should also be able to automatically notify the relevant authorities and organizations about the malicious domains.