# Phishing Email Detection

This is a dataset for phishing attack detection, primarily used to train BERT models to identify phishing websites.

BERT-based phishing email/webpage classification model achieving 87.3% accuracy on validation set

This model is based on the DistilBERT architecture, specifically designed for multi-label classification tasks to determine whether emails and URLs are safe or pose phishing risks.

A phishing email detection model fine-tuned from Llama-Guard-3-1B, capable of efficiently identifying phishing attacks.

A lightweight phishing email detection model based on DistilBERT for identifying suspicious email content.