Detection of Phishing URLs for Security Model Training

A dataset for identifying malicious web addresses, sourced from Kaggle. The dataset's specific size, features, and collection timeframe are not detailed in the provided metadata. Its content and structure require verification after download.

Use Cases

• Train a binary classifier to distinguish phishing URLs from legitimate ones (inferred from domain, verify after download)
• Feature engineering for URL string analysis and lexical pattern detection (inferred from domain, verify after download)
• Benchmarking model performance against a public cybersecurity dataset (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing 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 is 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.