surajr/URL-Classification
Machine learning to classify Malicious (Spam)/Benign URL's
This project helps quickly identify if a web address (URL) is safe or unsafe without needing to visit the site. You input a URL, and it tells you whether it's likely a benign site or a malicious one, like a phishing scam or a spam advertisement. This is ideal for network administrators, IT security personnel, or anyone managing web traffic and online safety.
134 stars. No commits in the last 6 months.
Use this if you need an automated, real-time way to screen URLs for potential threats without relying on outdated blacklists.
Not ideal if you require an in-depth analysis of a website's content or behavior, as this system currently only examines the URL text itself.
Stars
134
Forks
53
Language
Jupyter Notebook
License
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Category
Last pushed
Jun 13, 2021
Commits (30d)
0
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