CoolFace
Modelpublic

Canstralian/CySec_Known_Exploit_Analyzer

sourceHugging Facemitupdated 2y agoView on Hugging Face
2likes15downloads
Model Card

CySec Known Exploit Analyzer

Overview

  • —The CySec Known Exploit Analyzer is developed to:
  • —Detect and assess known cybersecurity exploits.
  • —Identify vulnerabilities and exploit attempts in network traffic.
  • —Provide real-time threat detection and analysis.

Model Details

  • —Type: Neural Network
  • —Input:
  • —Network traffic logs
  • —Exploit payloads
  • —Related security information
  • —Output:
  • —Classification of known exploits
  • —Anomaly detection
  • —Training Data:
  • —Based on the cysec-known-exploit-dataset
  • —Includes real-world exploit samples and traffic data.
  • —Architecture:
  • —Custom Neural Network with attention layers to identify exploit signatures in packet data.
  • —Metrics:
  • —Accuracy
  • —F1 Score
  • —Precision
  • —Recall

Getting Started

Installation

  1. 1.Clone the repository: git clone https://huggingface.co/Canstralian/CySec_Known_Exploit_Analyzer
  2. 2.Navigate to the directory: cd CySec_Known_Exploit_Analyzer
  3. 3.Install the necessary dependencies: pip install -r requirements.txt

Usage

  • —To analyze a network traffic log: python analyze_exploit.py --input [input-file]
  • —Example Command: 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.

Datasets

  • —The model is trained on the cysec-known-exploit-dataset, featuring exploit data from actual network traffic.

Contributing

  • —Contributions are encouraged! Please refer to CONTRIBUTING.md for details.

Contact