Education-Targeted Phishing Emails from a Multi-Source Corpus

A curated multi-source corpus of phishing emails focused on threats to the education sector. The dataset is hosted on Kaggle and appears designed for security and NLP tasks. Specific details on size, authorship, and licensing are not provided in the input metadata.

Use Cases

• Train binary classifiers to detect phishing emails based on text content from the education sector.
• Analyze linguistic patterns and social engineering tactics used in education-targeted phishing campaigns.
• Benchmark the performance of NLP models on a domain-specific security corpus.
• Study the evolution of email-based threats targeting universities and schools.

Strengths

• The corpus is described as curated, suggesting some level of quality control.
• It is multi-sourced, which may provide diversity in phishing examples.
• Focus on the education sector addresses a specific, high-risk domain.

Limitations

• Row count, file size, and column definitions are unknown, limiting suitability assessment.
• Author, organization, and license information are absent, affecting provenance and reuse clarity.
• The last update date is unknown; data freshness is unverified.

Provenance

Source

Kaggle

Collection Method

Curated from multiple sources, as per description.