Skip to content

Latest commit

 

History

History
50 lines (38 loc) · 1.52 KB

README.md

File metadata and controls

50 lines (38 loc) · 1.52 KB
Raw

Malware Analysis Tool

Includes: - 41,323 binaries (exe, dll) - legitimate - 96,724 malware files from virusshare.com

Overview

An "advanced*" malware analysis tool powered by Machine Learning, designed to help security researchers and professionals analyze and classify malicious software more effectively.

Features

  • ML-powered malware detection and classification
  • More to come soon!

Requirements

  • Python 3.8+
  • pip requirements:
    • SciKit Learn
    • Numpy
    • Pandas
    • PEFile

Installation

# Clone the repository
git clone https://github.com/Ashthetik/Malware-DataSet.git

# Navigate to the project directory
cd Malware-DataSet

# Install required dependencies
pip install -r requirements.txt

Usage

python3 main.py <malwareFile>

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Security Considerations

This tool is intended for security research and legitimate malware analysis purposes only. Users should ensure they have appropriate permissions and are following all applicable laws and regulations when analyzing malware.

License

MIT

Acknowledgments

VirusShare for their collection of malwares and detailed features of each file

Disclaimer

This tool is provided for educational and research purposes only. The author(s) are not responsible for any misuse or damage caused by this tool.
*This tool is only advanced as RandomForests it's developments go, please use with consideration and caution. This does not do you job for you