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. The model can be used to assess the security posture of websites and generate vulnerability reports with actionable insights.

Features

Tech Stack Detection: Identifies the technologies used by the website (e.g., server, CMS, JavaScript libraries).
Vulnerability Detection: Analyzes the website for common vulnerabilities such as insecure HTTP methods, missing security headers, and weak password policies.
Proof of Concept Generation: Provides a theoretical proof-of-concept for exploiting vulnerabilities found on the website.
Comprehensive Reports: Generates vulnerability reports in various formats (CVSS, OWASP) with detailed descriptions, steps to reproduce, and suggested fixes.

Training Data

The model was trained using a combination of:

Publicly available vulnerability reports (e.g., HackerOne, CVE databases).
Synthetic data created from security research and simulated attacks.
Vulnerability disclosure platforms and security-related documentation.

Usage

Step 1: Install Dependencies

To run the model, you need to install the following Python libraries:

pip install transformers torch