Phishing Datasets for Cybersecurity Research

Phishing datasets likely contain examples of malicious and legitimate communications for security analysis. The dataset is hosted on Kaggle, but details on its size, origin, and specific features are not provided in the metadata. The author, organization, and last update date are unknown.

Use Cases

• Train a classifier to distinguish phishing emails from legitimate ones (inferred from domain, verify after download)
• Analyze features and patterns common to phishing attempts (inferred from domain, verify after download)
• Benchmark detection algorithms against a known corpus (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and sample data are unavailable, limiting suitability assessment.
• License and author information are unknown, which may affect usage rights and provenance.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

Unknown

Freshness

Last update date is unknown; freshness unverified.

Geography

Unknown