| | --- |
| | license: mit |
| | task_categories: |
| | - summarization |
| | language: |
| | - en |
| | tags: |
| | - exploits |
| | - vulnerabilities - streamlit - cyber - security - cyber-security |
| | pretty_name: 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](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. |
