Detection Phishings Dataset for Cybersecurity Models

A dataset focused on phishing detection, sourced from Kaggle. The specific content, scale, and features require verification after download. Details on authorship, collection method, and temporal coverage are not provided in the metadata.

Use Cases

• Train a binary classifier to distinguish phishing URLs from legitimate ones (inferred from domain, verify after download)
• Feature engineering for network traffic or email header analysis (inferred from domain, verify after download)
• Benchmarking anomaly detection algorithms for security applications (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with a large community for data science.

Limitations

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

Provenance

Source

Kaggle

Collection Method

Collection method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.