Img Stego

An example application for blind image steganography with a GUI in C#

Cybersecurity & Ethical HackingC#MIT

Abstract

Img Stego is an open-source Cybersecurity & Ethical Hacking project. An example application for blind image steganography with a GUI in C#. This program is a simple example for blind image steganograpy using Least Significant Bit (LSB) substitution. It lets the user hide any kind of data into 24-bit bitmap images on a GUI. It is built using C#. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Cybersecurity & Ethical Hacking mini project or final-year project.

1. Introduction

This program is a simple example for blind image steganograpy using Least Significant Bit (LSB) substitution. It lets the user hide any kind of data into 24-bit bitmap images on a GUI.

This desktop app was developed as a part of my MSc Seminar in 2015, and it is shared on github to be helpful for other users.

It is possible to hide either text messages or any kind of files by switching the option with the radio buttons in the application.

2. Objective

An example application for blind image steganography with a GUI in C#

This project demonstrates how C# can be applied to a real-world Cybersecurity & Ethical Hacking problem.

4. Technology Stack

C#

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • .NET SDK / Visual Studio
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/ktekeli/img-stego.git
cd img-stego

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Add logging and alert notifications (email / Telegram)
  • Write a threat model document for the tool
  • Package it with Docker for safe lab testing

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which threat or attack does this project defend against?
  2. What detection or protection technique is used and what are its limits?
  3. How are false positives and false negatives handled?
  4. Which cryptographic algorithms or security standards are involved?
  5. What legal and ethical rules apply when testing a tool like this?

9. Source Code & License

This project is developed by ktekeli and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

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