Bert Phishing Detector

🚀 BERT Phishing URL Detector

This model is a fine - tuned version of bert-base-uncased for phishing URL classification. It effectively detects potentially malicious URLs, offering a reliable solution for online security.

🚀 Quick Start

This model is a fine - tuned version of bert-base-uncased on a phishing URL classification dataset. It can be used to detect potentially malicious URLs.

✨ Features

• Based on BERT (Bidirectional Encoder Representations from Transformers).
• Fine - tuned for binary classification of URLs as safe or potentially phishing.

📚 Documentation

Intended uses & limitations

This model is intended for use in detecting potentially malicious URLs. However, it should not be used as the sole method of protection against phishing attacks. Always use multiple layers of security and exercise caution when dealing with suspicious URLs.

Training data

The model was trained on a custom dataset of URLs labeled as safe or unsafe. The dataset is available at imanoop7/phishing_url_classification on the Hugging Face Hub.

Training procedure

The model was fine - tuned using the Hugging Face Transformers library. Only the pooling layers were fine - tuned while the base BERT layers were frozen.

📄 License

This project is licensed under the MIT license.