# Cybersecurity

A DistilBERT-based vulnerability severity classification model for automatically determining severity levels based on vulnerability descriptions

Lightweight BERT model fine-tuned specifically for URL classification tasks, capable of categorizing URLs as benign, phishing, malware, or defacement

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.