Phishing Email Detection

Labeled email text samples categorized into phishing and legitimate classes enable text-based security analysis. The data focuses on identifying malicious communication through linguistic patterns and message content. It supports the development of natural language processing models for cybersecurity.

Use Cases

• Train a binary classifier to identify phishing attempts using the email_text column
• Perform keyword extraction on the email_text to identify common social engineering triggers
• Evaluate model performance using the provided phishing and legitimate labels

Strengths

• Contains email body text for linguistic pattern analysis
• Includes classification labels for phishing and non-phishing categories
• Focuses on text-based features for identifying malicious intent