Skip to content

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.

Notifications You must be signed in to change notification settings

4xyy/AI-Vuln-Scanner

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.

About

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.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages