Phishing and Spam Email Dataset for Security Analysis

Kaggle hosts a dataset focused on phishing and spam content. The dataset's specific size, features, and collection method are not detailed in the provided metadata. Its author, organization, and last update date are currently unknown.

Use Cases

• Train a binary classifier to distinguish phishing emails from legitimate ones (inferred from domain, verify after download)
• Analyze textual patterns and features common to spam messages (inferred from domain, verify after download)
• Benchmark the performance of new anomaly detection algorithms for email security (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning practices.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

Unknown

Freshness

Last update date is unknown; freshness unverified.

Geography

Unknown