Detects phishing URLsDescription
AI-Powered Phishing Detection with tensorflow and scikit-learn
This script analyzes URLs to determine if they are phishing attempts. It uses a trained ML model to classify websites.
Customization: Train the model with additional phishing and safe URLs for better accuracy.
Usage: Run python anti_phishing.py “http://suspicious-site.com” to check a URL.
Expected Results: The script returns “Safe” or “Phishing” based on analysis.
Omotayo –
“anti_phishing.py is a fantastic piece of code! It’s remarkably effective at identifying and blocking phishing URLs, giving me peace of mind knowing my system is better protected from malicious attacks. The AI-based analysis is clearly sophisticated and works quickly without slowing down my browsing. A brilliant, self-contained solution for anyone concerned about phishing threats.”
Happy –
“anti_phishing.py has been a lifesaver! As someone working solo, I needed a reliable solution to protect myself from phishing attacks. The AI-based URL analysis is incredibly effective, and I’ve noticed a significant decrease in the number of suspicious websites I accidentally click on. This code is well-written, easy to implement, and provides peace of mind knowing I have a strong defense against malicious URLs. It’s a great tool for anyone looking to boost their security.”
Ifeyinwa –
“anti_phishing.py is a fantastic tool! As a solo user constantly bombarded by suspicious links, I found its AI-powered URL analysis incredibly effective at detecting and preventing access to phishing sites. The peace of mind it provides is well worth it, and it’s become an essential part of my digital security setup. It saved me from a potential scam.”
Olabisi –
“anti_phishing.py is a lifesaver! As someone working solo, I needed a reliable way to protect myself from phishing attacks, and this code delivers. The AI-based URL analysis is remarkably effective at identifying and blocking malicious websites before I even have a chance to visit them. It’s incredibly user-friendly and has given me a significant boost in confidence knowing my system is better defended.”