/sqliscan

`sqliscan` is a simple Python tool designed for detecting SQL injection vulnerabilities in web applications.

Primary LanguagePythonMIT LicenseMIT

SQLiScan

About the Tool ⚒️

sqliscan is a simple Python tool designed for detecting SQL injection vulnerabilities in web applications.

Tool

Features ⚙️

  • URL Scanning: Identifies and scans for SQL injection vulnerabilities in a provided URL.
  • File Input: Supports scanning multiple URLs by reading them from a file.
  • Payload Testing: Sends crafted payload to web forms to detect potential SQL injection vulnerabilities.
  • Command-Line Interface: Easy-to-use command-line interface for scanning.

Prerequisites 🧩

Before using sqliscan, make sure you have the following prerequisites installed:

  1. Python 3.x: Ensure you have Python 3.x installed on your system. Download Python

  2. Required Python Packages: Install the required Python packages using the following commands:

    pip install click
    pip install requests
    pip install beautifulsoup4
    
    

Installation ⬇️

pip install sqliscan
sudo cp ~/.local/bin/sqliscan /usr/bin

Usage 🚀

  -u, --url     URL to scan                                sqliscan -u https://target.com                
  -i, --input   <filename> Read input from txt             sqliscan -i target.txt                         
  -h, --help    Help Menu

Help Menu ❓

  • u, --url: Specify the URL to scan for the SQLi vulnerability. Example: sqliscan -u https://target.com

  • i, --input: Read input URLs from a file. Example: sqliscan -i target.txt

  • h, --help: Display the help menu.

Disclaimer ⚠️

This script is intended for educational and ethical purposes only. Unauthorized use of this script to perform malicious activities is strictly prohibited. The developers are not responsible for any misuse or damage caused by this script.

Version History 🕒

  • v1.0: Find SQLi Vulnerabilities in forms by using basic payload
  • v1.1: Fixed import module issues
  • v1.1.1: Fixed Bugs
  • v1.1.2: Fixed Bugs
  • v1.2: Finds SQLi in GET parameters from url

PyPi Module Link

Click Here

Profile Views 👁️

License 🪪

MIT License

Author 👤

@mdaseem03

Connect at 💬

cyberspartan mdaseem03