Website Screenshots for Phishing and Legitimate Site Classification

A collection of website screenshots labeled as phishing or legitimate. The dataset is hosted on Kaggle, but the total number of images, creation date, and author are unknown. The content likely consists of visual captures of web pages intended for security analysis.

Use Cases

• Train an image classifier to distinguish phishing sites from legitimate ones (inferred from domain, verify after download)
• Benchmark visual feature extraction methods for security applications (inferred from domain, verify after download)
• Analyze visual patterns and design elements common to fraudulent websites (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.
• Row count, file formats, and column-level documentation are unknown.
• License, author, and last updated date are unknown.

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.