Phishing Email Dataset for Security Analysis

Phishing Email Dataset is a collection of emails likely used for training and evaluating cybersecurity models. The dataset is hosted on Kaggle, but its specific size, creation date, and authorship details are not provided in the available metadata. Its content is inferred to consist of email text and potentially associated labels for distinguishing phishing attempts from legitimate correspondence.

Use Cases

• Train a binary classifier to identify phishing emails (inferred from domain, verify after download)
• Analyze linguistic patterns and features common in malicious emails (inferred from domain, verify after download)
• Benchmark the performance of different NLP models on security text data (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and license information are unknown.
• Data may reflect temporal or source bias inherent to its unspecified collection method.

Provenance

Source

Kaggle

Collection Method

Collection method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.