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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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pretty_name: sunny thakur |
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size_categories: |
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- n<1K |
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--- |
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# Malicious File Trick Detection Dataset |
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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. |
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The dataset is ideal for: |
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- 🧠 Training AI/ML models for malware detection |
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- 🚨 Building secure email gateways and filters |
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- 📚 Teaching social engineering and malware delivery tactics |
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## 📁 Dataset Format |
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Stored in `.jsonl` format (JSON Lines), with one structured object per line. |
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### Fields |
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| Field | Description | |
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|---------------|-----------------------------------------------------------------------------| |
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| `filename` | Example of a malicious or deceptive file name | |
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| `technique` | Obfuscation method used (e.g., `Double extension`, `Unicode trick`) | |
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| `category` | Context or delivery type (e.g., `Social Engineering`, `Malware Delivery`) | |
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| `detected_by` | Detection method or defense mechanism (e.g., `AV heuristic`, `Sandbox`) | |
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--- |
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## 🔍 Example |
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```json |
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{ |
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"filename": "report.pdf.exe", |
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"technique": "Double extension", |
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"category": "Social Engineering", |
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"detected_by": "AV heuristic" |
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} |
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✅ Key Techniques Included |
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Double extension (file.pdf.exe) |
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Whitespace padding (file.txt .exe) |
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Unicode manipulation (file.exe) |
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Alternate file data streams (Windows ADS) |
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Executable macros in Office docs (.docm, .xlsm) |
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Archive deception (.zip bombs, nested .rar) |
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Script obfuscation (.vbs, .bat, .js payloads) |
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🛠 Use Cases |
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Machine learning for secure email filtering |
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Static or behavioral malware classifiers |
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LLM training for phishing/malware awareness |
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Threat modeling and red team education |
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⚠️ Disclaimer |
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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. |
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📜 License |
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This dataset is released under the MIT License. You are free to use, modify, and redistribute with attribution. |
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🤝 Contributions |
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Want to add more techniques or filenames? PRs are welcome! |
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📫 Maintainer |
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Your Name |
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GitHub: @sunnythakur25 |
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Email: sunny48445@gmail.com |
