Phishing Email Detector

Description

This project is a web application built with Flask that analyzes email text content to detect potential phishing attempts. It utilizes a pre-trained machine learning model from the Hugging Face Transformers library to classify emails. [cite: 1]

Features

• Provides a simple web interface to paste and analyze email text.
• Uses the cybersectony/phishing-email-detection-distilbert_v2.4.1 model for classification. [cite: 1]
• Displays the most likely classification (e.g., "Likely Legitimate", "Suspicious / Phishing Link Likely"). [cite: 1]
• Shows the confidence score for the top prediction. [cite: 1]
• Provides detailed probabilities for all classification categories considered by the model. [cite: 1]

Dependencies

• Python 3.x
• Flask [cite: 1]
• Hugging Face Transformers (transformers) [cite: 1]
• PyTorch (torch) [cite: 1]

You can install the Python dependencies using pip:

pip install Flask transformers torch