MySQL Error-Based SQL Injection via GROUP BY (Business Lab)

Description

Simulate a real-world pentest where you exploit a GROUP BY-based SQL injection to leak sensitive MySQL schema details using error-based techniques in a business product catalog application.

Objectives

• Identify and test SQL injection points.
• Exploit GROUP BY to trigger informative MySQL error messages.
• Extract backend technology information (MySQL version) via crafted errors.

Difficulty

Intermediate

Estimated Time

45 minutes

Prerequisites

• Basic knowledge of SQL syntax and injection attacks
• Familiarity with HTTP requests and web debugging
• Comfort with error message analysis

Skills Learned

• Error-based SQL injection with GROUP BY
• Interpreting MySQL error messages for information extraction
• Payload crafting for information disclosure

Project Structure

• folder: build
• folder: deploy
• folder: test
• folder: docs
• file: README.md
• file: .gitignore

Quick Start

Prerequisites: Docker and docker-compose installed locally.

Installation:

1. Clone the repo
2. Run docker-compose up
3. Access http://localhost:3206/lab

Issue Tracker

https://github.com/Cyber-Library/issues