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It occurs when an attacker, masquerading as a trusted entity, dupes a victim into opening an email, instant message, or text message. The recipient is then tricked into clicking a malicious link, which can lead to the installation of malware, the freezing of the system as part of a ransomware attack or the revealing of sensitive information. This seriously threatens the security of the user and the organization. \n\n## Problem Statement\n\nThe problem statement is to implement an algorithm to identify potential Phishing Sites\n\n## Solution\n\nThe solution is to implement an Algorithm to identify potential Phishing Sites. The algorithm is implemented using the following steps:\n\n- [x] Check if the site is using HTTPS\n- [x] Check if the URL is not a 404\n- [ ] Check if the domain is blacklisted\n- [ ] Check if the domain is using a free hosting service\n- [x] Check if the domain name is registered for more than a year\n- [x] Check if the domain has a valid DNS record\n- [x] Check if the URL is using a URL-shortening service\n- [x] Check if the URL is using a website forwarding service\n- [x] Check if the domain has valid SSL certificates\n- [x] Check if the domain has a favicon\n- [x] Check if the domain is using a missing HTTP Secure Headers\n\n## Pictures\n\n### API\n\n![API image](https://github.com/Siddhesh-Agarwal/PhishWatch/assets/68057995/7d4c2454-3867-42b2-bb0f-9d1b9d0dbb04)\n\n### Web App\n\n![Web App image](https://github.com/Siddhesh-Agarwal/PhishWatch/assets/68057995/4cb12124-2f51-43c2-bb06-88c16a44a07a)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsiddhesh-agarwal%2Fphishwatch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsiddhesh-agarwal%2Fphishwatch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsiddhesh-agarwal%2Fphishwatch/lists"}