242,000 URLs have been processed with engineered features for phishing detection. The dataset likely contains attributes designed to distinguish malicious URLs from legitimate ones. Its origin, author, and specific feature definitions are unknown.
Use Cases
- Train a binary classifier to detect phishing URLs based on engineered features.
- Benchmark feature engineering techniques for URL security analysis.
- Analyze patterns in malicious URLs based on the engineered attributes.
- Develop real-time phishing detection systems based on URL characteristics.
Strengths
- Contains 242,000 URLs, providing a substantial sample size.
- Features are described as 'engineered', suggesting deliberate design for the detection 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.