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.
No commits in the last 6 months.
Use this if you need to quickly assess the legitimacy of a suspicious website link to protect users from phishing scams.
Not ideal if you need a real-time, high-volume enterprise-grade solution with ongoing threat intelligence updates.
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30
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8
Language
Jupyter Notebook
License
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Last pushed
Mar 26, 2024
Commits (30d)
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