| # Autonomous Vulnerability Assessment AI | |
| ## Overview | |
| This model is designed to automatically identify vulnerabilities on websites by analyzing the technologies used, detecting potential weaknesses, and providing detailed security reports. | |
| ## Features | |
| - **Tech Stack Detection**: Identifies technologies used by the website. | |
| - **Vulnerability Detection**: Analyzes for common vulnerabilities such as insecure HTTP methods, missing security headers, and weak password policies. | |
| - **Proof of Concept Generation**: Provides an example of how vulnerabilities can be exploited. | |
| - **Comprehensive Reports**: Generates reports in CVSS, OWASP formats, with detailed descriptions, steps to reproduce, and fixes. | |
| ## Training Data | |
| The model was trained on a combination of publicly available vulnerability reports (e.g., HackerOne, CVEs) and synthetic data from security research. | |
| ## Usage | |
| 1. **Install dependencies**: | |
| ```bash | |
| pip install transformers torch | |