| --- |
| license: mit |
| task_categories: |
| - text-classification |
| language: |
| - en |
| pretty_name: sunny thakur |
| size_categories: |
| - n<1K |
| --- |
| # Malicious File Trick Detection Dataset |
|
|
| This dataset provides a structured collection of **file-based social engineering and obfuscation techniques** used by attackers to bypass user awareness, antivirus (AV) detection, and security filters. Each entry identifies a malicious or deceptive filename, the evasion technique used, and detection methodology. |
|
|
| The dataset is ideal for: |
| - 🧠 Training AI/ML models for malware detection |
| - 🚨 Building secure email gateways and filters |
| - 📚 Teaching social engineering and malware delivery tactics |
|
|
| --- |
|
|
| ## 📁 Dataset Format |
|
|
| Stored in `.jsonl` format (JSON Lines), with one structured object per line. |
|
|
| ### Fields |
|
|
| | Field | Description | |
| |---------------|-----------------------------------------------------------------------------| |
| | `filename` | Example of a malicious or deceptive file name | |
| | `technique` | Obfuscation method used (e.g., `Double extension`, `Unicode trick`) | |
| | `category` | Context or delivery type (e.g., `Social Engineering`, `Malware Delivery`) | |
| | `detected_by` | Detection method or defense mechanism (e.g., `AV heuristic`, `Sandbox`) | |
|
|
| --- |
|
|
| ## 🔍 Example |
|
|
| ```json |
| { |
| "filename": "report.pdf.exe", |
| "technique": "Double extension", |
| "category": "Social Engineering", |
| "detected_by": "AV heuristic" |
| } |
| ✅ Key Techniques Included |
| |
| Double extension (file.pdf.exe) |
| |
| Whitespace padding (file.txt .exe) |
| |
| Unicode manipulation (file.exe) |
| |
| Alternate file data streams (Windows ADS) |
| |
| Executable macros in Office docs (.docm, .xlsm) |
| |
| Archive deception (.zip bombs, nested .rar) |
| |
| Script obfuscation (.vbs, .bat, .js payloads) |
| |
| 🛠 Use Cases |
| |
| Machine learning for secure email filtering |
| |
| Static or behavioral malware classifiers |
| |
| LLM training for phishing/malware awareness |
| |
| Threat modeling and red team education |
| |
| ⚠️ Disclaimer |
| |
| This dataset is for educational, research, and defense purposes only. Do not use these payloads in unauthorized environments. The author is not responsible for misuse. |
| 📜 License |
| |
| This dataset is released under the MIT License. You are free to use, modify, and redistribute with attribution. |
| 🤝 Contributions |
| |
| Want to add more techniques or filenames? PRs are welcome! |
| 📫 Maintainer |
| |
| Your Name |
| GitHub: @sunnythakur25 |
| Email: sunny48445@gmail.com |
