CySec AI/ML
Collection
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The CySec Known Exploit Analyzer is a model designed to detect and analyze known cybersecurity exploits. This model was built to assist in identifying vulnerabilities and exploit attempts in network traffic by leveraging machine learning algorithms. It is designed for real-time detection and analysis of potential threats.
To clone the repository and install necessary dependencies:
git clone https://huggingface.co/Canstralian/CySec_Known_Exploit_Analyzer
cd CySec_Known_Exploit_Analyzer
pip install -r requirements.txt
Usage
To analyze a network traffic log:
python analyze_exploit.py --input [input-file]
Example
# Example command to analyze a sample log
python analyze_exploit.py --input data/sample_log.csv
Model Inference
• Input: Network traffic logs in CSV format
• Output: Classification of potential exploits with confidence scores
License
This project is licensed under the MIT License. See the LICENSE.md file for more details.
Datasets
The model was trained using the cysec-known-exploit-dataset, which consists of exploit data collected from real-world network traffic.
Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
Contact
For any questions or feedback, feel free to open an issue or reach out to [distortedprojection@gmail.com].