Phishing Email Detection Corpus for Security Analysis

Phishing Email Dataset is a text classification resource for identifying malicious emails. The dataset is a copy of the 'Phishing Email Detection' collection originally created by Kaggle user 'Cyber Cop'. It was uploaded to Hugging Face by zefang-liu in January 2024.

Use Cases

• Classify email text content as phishing or legitimate using labeled examples.
• Train a BERT-based model to detect phishing attempts from email body features.
• Analyze linguistic patterns in phishing emails versus safe emails for feature engineering.
• Benchmark the performance of different text classifiers on a security-focused task.

Strengths

• Dataset is categorized for a specific task: text classification.
• Platform tags indicate the dataset is in English ('Languageen') and originates from a US region ('Regionus').

Limitations

• Specific row count, column names, and sample data are unavailable for assessment.
• The dataset's size, temporal range, and internal data balance are unknown.

Provenance

Source

Original 'Phishing Email Detection' dataset from Kaggle, created by user 'Cyber Cop'.

Freshness

Last updated on Hugging Face was 2024-01-17.

Geography

Platform tags suggest a US region ('Regionus'), but specific geographic coverage of the data is unknown.