steganography

    0.2.0 • Public • Published

    Overview Build Status

    Conceals any type of file into images.

    It uses a LSB algorithm. The idea comes from http://domnit.org/blog/2007/02/stepic-explanation.html

    Check a blog post with an example: https://rodrigouroz.github.io/2016/06/13/hiding-things-at-plain-sight/

    Instalation

    Python is required.

    This is aimed to be installed globally as a command line tool

    npm install -g steganography

    Or, clone this repository and run npm install

    This module depends on lwip, check setup instructions for your system if the installation fails

    Quickstart

    It has two different actions

    Embed

    Embeds a file into a host image. Outputs the host file with the concealed file embedded as a new file

    steganography embed <host_file> <guest_file> [<output_file>] [<password>]

    By default output_file is 'output.png' in the same folder

    If password is used the data is encrypted with AES256. You'll need the password to retrieve the embedded file

    Example

    steganography embed host.jpg secret.pdf output secret-password

    This will create the file output.png in the current folder. You can share this file with anyone.

    They will need the password to recover the embedded file.

    Dig up

    Retrieves a concealed file from an image.

    steganography dig-up <image_file> [<output_folder>] [<password>]

    By default output_folder is the current folder.

    Example

    steganography dig-up output.png ./ secret-password

    Contributions

    Contributions are welcome. Fork this repository and issue a PR with your changes.

    Please add new tests for new functionality, adapt the existing ones if needed, and make sure that npm test succeeds.

    TODO

    • Input file check
      • Must be in RGB format
      • It can be determined before starting whether the file fits or not
      • Better command line support (named options such as --output=folder --password=pass)

    Install

    npm i steganography

    DownloadsWeekly Downloads

    1

    Version

    0.2.0

    License

    MIT

    Unpacked Size

    3.49 MB

    Total Files

    17

    Last publish

    Collaborators

    • rodrigouroz