| --- |
| license: mit |
| task_categories: |
| - text-classification |
| language: |
| - en |
| pretty_name: sunny thakur |
| size_categories: |
| - n<1K |
| --- |
| # Phishing and Benign Email Dataset |
|
|
| This dataset contains a curated collection of **phishing and legitimate (benign) emails** for use in cybersecurity training, phishing detection models, and email classification systems. Each entry is structured with subject, body, intent, technique, target, and classification label. |
|
|
| --- |
|
|
| ## 📁 Dataset Format |
|
|
| The dataset is stored in `.jsonl` (JSON Lines) format. Each line is a standalone JSON object. |
|
|
| ### Fields: |
|
|
| | Field | Description | |
| |------------------|-------------| |
| | `id` | Unique email ID | |
| | `subject` | Email subject line | |
| | `body` | Full email content | |
| | `intent` | Purpose of the email (e.g., credential harvesting, malware delivery) | |
| | `technique` | Social engineering or technical trick used | |
| | `target` | Who or what is being impersonated | |
| | `spoofed_sender` | Forged email address | |
| | `label` | `"phishing"` or `"benign"` | |
|
|
| --- |
|
|
| ## 🔍 Example Entry |
|
|
| ```json |
| { |
| "id": "phish-0003", |
| "subject": "Unusual Activity Detected", |
| "body": "Suspicious login from Russia. Reset password now: https://g00gle-security.com", |
| "intent": "Credential Harvesting", |
| "technique": "Homoglyph Link Spoofing", |
| "target": "Google", |
| "spoofed_sender": "no-reply@g00gle.com", |
| "label": "phishing" |
| } |
| ✅ Use Cases |
| |
| Train NLP models to detect phishing content |
| |
| Classify or filter email threats in spam filters |
| |
| Educate users and red teams on phishing techniques |
| |
| Simulate email-based social engineering scenarios |
| |
| 📊 Dataset Summary |
| |
| 🔐 Phishing Emails: ~100 entries |
| |
| ✅ Benign Emails: ~100 entries |
| |
| ⚖️ Balanced and ready for binary classification or LLM pretraining |
| |
| ⚠️ Disclaimer |
| |
| This dataset is for research and educational purposes only. Do not use these emails in live environments. The authors are not responsible for misuse. |
| 📜 License |
| |
| This dataset is released under the MIT License. |
| 📫 Contributions |
| |
| Feel free to submit pull requests to add more phishing or legit emails. The more diverse, the better for training secure systems. |
