Using Instagram and steganography as a way to transmit images encoded with text by hiding it in prevelant social media traffic.
### Basic Use Upload image with encoded text: ```python import instegogram instegogram.insta_upload(filepath='examples/piercing.jpg', uname='username', pword='password', message='examples/message.txt') ``` Download latest image and decode text: ```python instegogram.insta_download_latest(uname='username') ```
Do both to check that it works:
instegogram.insta_roundtrip(filepath='examples/piercing.jpg', uname='username', pword='password', message='examples/message.txt')### Image Prep Image prep converts an image to square (not perserving aspect ratio) with a maximum size of 1080x1080, which is Instagram's max upload size. It also re-quantizes the image with Instagram's quantization table. This requires [ImageMagic](http://www.imagemagick.org/script/index.php). ```python from img_prep import img_prep img_prep.prep_img(filepath='examples/piercing.jpg') ```
### Stego The example stego technique in C is implemented and called via Python. If you have another method for encoding/decoding you can replace the `subprocess` calls in stego.py with your own.
To encode a text file into an image:
from stego import stego
stego.encode(filepath='examples/piercing.jpg', message='examples/message.txt')To decode text from an image:
stego.deocde(filepath='download.jpg')Note: Different images will have different capacities for encoding text. Try to select an image with high average texture in the luminance channel for the 8px by 8px blocks of the image. Or just trial and error until you find a good one (think lots of contrast and not computer generated)
### Instagram API Instagram is accessed via their API and scraping their website.
To upload an image:
from api_access import insta_access
insta_access.upload(filepath='examples/piercing.jpg', uname='username', pword='password')To download the latest image:
insta_access.download(uname='username')or a specific image (found via page source or other means):
insta_access.download(img_url='https://scontent-sjc2-1.cdninstagram.com/t51.2885-15/s1080x1080/e15/fr/12960199_1704537009805057_827148056_n.jpg')