https://github.com/4xyy/ai-vuln-scanner

An AI-powered web application vulnerability scanner that automates the detection of common security flaws and provides AI-driven insights for impact assessment and remediation suggestions.
https://github.com/4xyy/ai-vuln-scanner

ai automation csrf cybersecurity machine-learning penetration-testing python security-tools sql-injection ssrf vulnerability-scanning web-security xss

Last synced: 5 days ago
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An AI-powered web application vulnerability scanner that automates the detection of common security flaws and provides AI-driven insights for impact assessment and remediation suggestions.

• Host: GitHub
• URL: https://github.com/4xyy/ai-vuln-scanner
• Owner: 4xyy
• Created: 2024-09-15T14:05:06.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-15T15:36:54.000Z (2 months ago)
• Last Synced: 2024-09-16T14:54:05.334Z (about 2 months ago)
• Topics: ai, automation, csrf, cybersecurity, machine-learning, penetration-testing, python, security-tools, sql-injection, ssrf, vulnerability-scanning, web-security, xss
• Language: Python
• Homepage:
• Size: 20.5 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.MD

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README

        
AI-Powered Web Application Vulnerability Scanner

Overview: A tool that automates the scanning of web applications for common vulnerabilities (like SQL injection, XSS, CSRF, and SSRF) and leverages AI to provide an analysis of the potential impact and suggested remediation steps. This tool aims to be simple to set up and use, targeting penetration testers who need quick, actionable insights without the complexity of larger enterprise solutions.

Installation:

1. Clone the repository:
git clone https://github.com/4xyy/AI-Vuln-Scanner.git

2. cd AI-Vuln-Scanner

3. Set up the environment:
python3 -m venv .venv

4. source .venv/bin/activate  # On Windows use: .venv\Scripts\activate

5. pip install -r requirements.txt

6. Run the scanner:
python vuln_scanner.py

Usage:

1. Start the scanner:
python vuln_scanner.py  

2. Enter the target URL when prompted.

Workflow:

1. Run Scans: Checks for SQL Injection, XSS, CSRF, and SSRF.

2. View Results: Displays vulnerabilities found.

3. AI Analysis: Provides impact assessment and prioritization.