Phishing-Attack-Domain-Detection and Phishing-Website-Detection
Both projects are independent machine learning models for phishing URL detection, making them competitors in the "phishing-url-detection" category.
About Phishing-Attack-Domain-Detection
deepeshdm/Phishing-Attack-Domain-Detection
Identifying Malicious Phishing URLs through Machine Learning
This tool helps individuals and organizations detect malicious phishing URLs before they can cause harm. You input a website address, and it tells you whether the URL is legitimate or a fraudulent phishing attempt. It is designed for anyone who needs to verify the safety of a link, from cybersecurity professionals to everyday internet users.
About Phishing-Website-Detection
gangeshbaskerr/Phishing-Website-Detection
A project that predicts a phishing URL by extracting 17 features in 3 different categories and then train and test the machine learning models using a dataset from Phishtank.
This tool helps cybersecurity professionals and system administrators detect phishing websites. You input a URL, and it classifies whether the URL is legitimate or a phishing attempt. The system analyzes various features of the URL, its address bar, domain, HTML, and Javascript to make an informed decision.
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