ThreatX is an AI-based malware detection system that utilizes deep learning models for the identification of malware or malicious files. This repository includes both YARA rules for pattern matching and Python code for the AI models.
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Static Analysis Using AI: Leverages AI for analyzing files without executing them.
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Dynamic Analysis Using AI: Uses AI to analyze the behavior of files during execution.
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Integration with YARA Rules: Utilizes YARA for efficient pattern matching and malware signature detection.
- YARA: 73.7%
- Python: 11.6%
- JavaScript: 8.6%
- HTML: 6%
- CSS: 0.1%
Even though the main detection logic is implemented in Python, YARA rules play a crucial role in the system by providing a powerful and flexible way to define and identify malware patterns. This combination ensures both efficiency and accuracy in malware detection. YARA is widely used in the industry for its specialized capabilities, making it an essential component of the ThreatX system.
To set up the environment and run the project, follow these steps:
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Clone the repository:
git clone https://github.com/Minhal128/ThreatX-.git cd ThreatX- -
Install dependencies:
pip install -r requirements.txt
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Run the application:
python main.py
To use ThreatX for malware detection, you can follow the instructions provided in the docs directory. The system allows for both static and dynamic analysis of files.
Contributions are welcome! Please read the CONTRIBUTING guidelines before submitting a pull request.
For any inquiries or support, please contact Minhal128. email: rminhal783@gmail.com