Phishing URL Dataset for Security Model Training

A dataset titled 'phishing_url' is hosted on Kaggle. The dataset likely contains URLs labeled as legitimate or phishing for security analysis. Metadata such as column details, size, and license are currently unknown.

Use Cases

• Train a binary classifier to distinguish phishing URLs from legitimate ones (inferred from domain, verify after download)
• Feature engineering for URL structure and lexical analysis (inferred from domain, verify after download)
• Benchmarking performance of different anomaly detection algorithms (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.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is 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