vaibhavbichave/Phishing-URL-Detection

Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it. URL - http://phishing-url-detector-api.herokuapp.com/

/ 100

Emerging

Leverages ensemble machine learning models (Gradient Boosting, CatBoost, XGBoost) trained on URL structural features like HTTPS usage, anchor URLs, and website traffic patterns to achieve 97.4% classification accuracy. Built with Flask for the web interface and scikit-learn for model training, the system extracts feature vectors from submitted URLs and uses a pickled Gradient Boosting classifier for real-time predictions.

218 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 1 / 25

Community 24 / 25

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218

Forks

117

Language

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