Binary Dataset of Phishing and Legitimate URLs with 15 Features

A collection of 11,001 website URLs labeled for phishing detection. Each sample includes 15 website parameters and a binary class label, where 0 indicates a phishing URL and 1 indicates a legitimate one. The dataset is provided under a CC-BY-4.0 license on the OpenML platform.

Use Cases

• Train a binary classifier to distinguish phishing URLs from legitimate ones based on the 15 website parameters.
• Benchmark feature engineering techniques for cybersecurity models using the provided URL features.
• Scope functional requirements for a phishing detection system based on the dataset's structure and labels.

Strengths

• Contains 11,001 labeled URL samples, providing a substantial base for model training.
• Each sample includes 15 distinct website parameters, offering multiple features for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

OpenML platform