This repo contains jupyter notebook to classified URL content automatically
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Updated
Mar 8, 2018 - Jupyter Notebook
This repo contains jupyter notebook to classified URL content automatically
fraudurl: fast, offline phishing URL detector and checker for Python. Check one URL or a whole CSV of links for phishing, with calibrated probabilities and plain-English reasons. One file, zero dependencies, never visits the sites.
This project approaches URL classification as a multi-class supervised learning problem. Since only raw URL strings and their labels are provided, all input features are engineered from the URL structure itself — no external lookups or DNS queries required.
Deep Learning based Dark Web URL Classification using TextCNN and Streamlit
An end-to-end AI phishing detection web app built using Streamlit and Scikit-Learn. PhishGuard uses a trained Logistic Regression model and TF-IDF feature mapping to classify links dynamically, supported by a campus-wide cybersecurity awareness kit.
Deep Learning based Dark Web URL Classification using TextCNN and Streamlit
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