Steganography is the art of hiding a secret message within a normal message. This is used to transfer some secret message to another person; with this technique, no one else in between will know the secret message you wanted to convey.
Key Features • How To Use • Algorithm • Download • Files • Packages • License
- Hide text messages inside images
- Least Significat Bit (LSB) algorithm.
- Hide messages inside the least significat bits of each pixel value.
- Extract text messages from images
- Integrated encryption/decryption
- Text messages are encrypted/decrypted using SHA256.
- Allow custom number of bits encoding
- Default for LSB is 2.
- Interactive mode
- Supports JPEG, PNG images
- Supports TXT files
- Lightweight and fast
To clone and run this application, you'll need Git and Python (which comes with pip) installed on your computer.
From your command line:
# Clone this repository
$ git clone https://github.com/francesco-dorati/steganograpy.git
# Go into the repository
$ cd steganography
# Install dependencies
$ python3 -m pip install --upgrade -r requirements.txt
# Run the app
$ python3 main.pyLeast Significat Bit (LSB) algorithm is a steganographic algorithm that is able to conceal a message within an image by modifying its least significant two-bits.
In the resulting image the pixel value will be formed by 6 bits for the image and 2 bits for the message.
Example:
Message: 01100101 -> 01 10 01 01
Image pixels: 00100110 01101001 10010010 11100011
Resulting image: 001001(01) 011010(10) 100100(01) 111000(01)
Since only the least significat bits are modified, the difference between the two images is imperceptible.
You can download the latest installable version of Steganography for Windows, macOS and Linux.
main.py: entry file for the program. (front-end)steganography.py: file containing Steganography API. (back-end)requirements.txt: file containing the list of dependencies.
This software uses the following open source packages:
- Pillow for image manipulation.
- Cryptography for encryption.
MIT