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

model_details: model_name: Cyber Security Known Exploit Analyzer dataset: Canstralian/CyberExploitDB license: MIT License language: Python tags: - exploits - vulnerabilities - cybersecurity - streamlit size: Small Dataset (exploits.csv, vulnerabilities.csv) pretty_name: Cyber Security Known Exploit Analyzer

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.