Phishing Website Detection Data Using URL and Domain Features

Phishing detection data likely contains features extracted from URLs and domain information for classification tasks. The dataset originates from Kaggle, a platform for sharing machine learning datasets. Its specific size, authorship, and update history are not documented.

Use Cases

• Train a binary classifier to distinguish phishing from legitimate websites based on URL features.
• Analyze the relationship between specific domain characteristics and phishing risk.
• Benchmark new machine learning algorithms for cybersecurity applications.

Strengths

• The description specifies a clear, focused application for phishing website detection.
• Features are derived from URL and domain data, which are standard inputs for this task.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle