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---
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 |