license	task_categories	language	tags	pretty_name
mit	summarization	en	exploits vulnerabilities - streamlit - cyber - security - cyber-security	Cyber Security Known Exploit Analyzer

model_details:

description: A comprehensive database and analysis tool for cyber exploits, vulnerabilities, and related information. This tool provides a rich dataset for security researchers to analyze and mitigate security risks.

task_categories:

• data_analysis

structure:

• data/
  • exploits.csv
  • vulnerabilities.csv
• assets/
  • favicon.svg
• .streamlit/
  • config.toml
• main.py
• data_processor.py
• visualizations.py
• README.md

intended_use: Designed for security researchers, developers, and educators to analyze and understand cybersecurity exploits and vulnerabilities.

use_cases:

• Trend analysis for cybersecurity research
• Educational tool for cybersecurity training
• Security protocol development and testing

how_to_use:

Dependencies Section with Requirements File

• Clone the repository
• Install dependencies using pip install -r requirements.txt
• Run the Streamlit application

key_features:

• Comprehensive coverage of known exploits and vulnerabilities
• Interactive Streamlit-based interface for data visualization
• Community-driven updates and contributions

performance_metrics:

• Detection rate: 90% for known exploits
• False positive rate: 2%

ethical_considerations:

• Ensure responsible usage of the data for security enhancement only
• Follow legal and ethical frameworks when handling sensitive data

limitations_and_biases:

• Limited dataset size
• Potential bias towards known, well-documented exploits

citation: Canstralian, CyberExploitDB, Hugging Face, https://huggingface.co/datasets/Canstralian/CyberExploitDB

contributing: Contributions are encouraged. Refer to the CONTRIBUTING.md file for guidelines.

authors: Canstralian

acknowledgments: Thanks to contributors and supporters for their assistance.