Least Significant Bit Steganography

Version: 2.0.0

Authors: Andrew Quach and Stanislav Lyakhov

Introduction

Steglsb allows for two functions - encoding and decoding. Encoding masks a secret image in a cover image using LSB. Decoding recovers a secret image from an encoded image using LSB.

Each mode of steglsb [-d/-e] asks the user for a number of bits. This number of bits corresponds to the amount of least significant bits.

EX: If the user enters '# of bits' as 3, the LSB of 11011010 is 010.

Usage

Encoding:

Usage: steglsb -e [cover_image] [secret_image] [output_image_name]

Notes: The images need to have a file extension [.jpg/.jpeg/.png].
       The cover image should be larger than the secret image.

Decoding:

Usage: steglsb -d [encoded_image] [output_image_name]

Notes: The images need to have a file extension [.jpg/.jpeg/.png].

Usage Examples:

Encoding Example: Insert 'secret.jpg' into the image 'cover.png' located in the 'example' folder
                  Type the following command: './steglsb -e example/cover.png example/secret.jpg output.png'
                  The program will ask you to input the desired amount of Least Significant Bits 
                  Enter an integer between 1 and 8 (Recommended: 2)
                  The program will run and create the file 'output.png'
                  'output.png' will look like 'cover.png' but contain 'secret.jpg'

Decoding Example: There is a secret image in hidden.png
                  Type the following command: './steglsb -d example/hidden.png secret.png'
                  The program will ask to input a desired amount of Least Significant Bits
                  Enter an integer between 1 and 8 (Recommended: 2)
                  The secret image is hidden in the last 2 LSBs.
                  A 'secret.png' file will be created containing the secret image.

Dependencies

This program depends on Python3 Pillow.

Installation Using Pip:

sudo apt-get install python3-pip
sudo pip3 install Pillow

SST-CTF / lsb-steganography