Phishing URLS UCI is a dataset from the UCI Machine Learning Repository, hosted on Kaggle. The dataset likely contains features for classifying URLs as legitimate or phishing. Its specific size, features, and collection date are not detailed in the provided metadata.
Use Cases
- Train a binary classifier to identify phishing URLs (inferred from domain, verify after download)
- Benchmark feature engineering techniques for cybersecurity applications (inferred from domain, verify after download)
- Analyze patterns and characteristics of malicious web addresses (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a major platform for data science resources.
- Associated with the UCI Machine Learning Repository, a known source for benchmark datasets.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file format, and license are unknown, which may limit suitability assessment.
Provenance
- Source
- UCI Machine Learning Repository