Abstract
Stegify is an open-source Cybersecurity & Ethical Hacking project. π Go tool for LSB steganography, capable of hiding any file within an image. stegify is a simple command line tool capable of fully transparent hiding any file within an image or set of images. This technique is known as LSB (Least Significant Bit) steganography. It is built using Go. 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
stegify is a simple command line tool capable of fully transparent hiding any file within an image or set of images. This technique is known as LSB (Least Significant Bit) steganography
The Result file contains the Data file hidden in it. And as you can see it is fully transparent.
If multiple Carrier files are provided, the Data file will be split in pieces and every piece is encoded in the respective carrier.
2. Objective
π Go tool for LSB steganography, capable of hiding any file within an image.
This project demonstrates how Go can be applied to a real-world Cybersecurity & Ethical Hacking problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack β check the README for exact versions.
- Go 1.20 or later
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/DimitarPetrov/stegify.git
cd stegifygo install github.com/DimitarPetrov/stegify@latestbrew tap DimitarPetrov/stegify
brew install stegifyFull 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.
- Which threat or attack does this project defend against?
- What detection or protection technique is used and what are its limits?
- How are false positives and false negatives handled?
- Which cryptographic algorithms or security standards are involved?
- What legal and ethical rules apply when testing a tool like this?
9. Source Code & License
This project is developed by DimitarPetrov 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.
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