Phishing email data published on Kaggle. The dataset likely contains examples of deceptive emails used for security analysis. The specific number of emails, collection method, and author are unknown.
Use Cases
- Train a classifier to distinguish phishing emails from legitimate ones (inferred from domain, verify after download)
- Analyze linguistic patterns and features common in phishing attempts (inferred from domain, verify after download)
- Benchmark spam and phishing detection algorithms (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform for sharing datasets
Limitations
- Metadata is minimal; actual content requires verification after download
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download