frangelbarrera/phishing-detection-rnn-cnn
Offline phishing detection model for websites using a hybrid CNN–LSTM architecture. Operates without internet access, classifying URLs as legitimate or potentially malicious based on learned patterns.
This tool helps identify malicious phishing websites by analyzing their URLs. You input a web address, and the system tells you if it's legitimate or a potential phishing threat, even without an internet connection. It's designed for anyone who needs to quickly verify URLs to protect themselves or their organization from online scams.
Use this if you frequently encounter suspicious links and need a quick, offline way to check if a URL is likely to be a phishing attempt.
Not ideal if you need absolute, flawless detection for all known threats, as this model may sometimes misclassify legitimate sites and should be supplemented with other security measures.
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8
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 20, 2026
Commits (30d)
0
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