steganodf 0.1.4

Functions to add steganographic message to a dataframe with row permutation

Steganodf

This is a Python tool for hiding a secret message in a tabulated file ( e.g: CSV file ) . It works by swapping blocks of 6 lines, each capable of storing 1 bytes ( 6! > 255 bits )

The dataframe is first sorted by the computed hash of each line. HMAC is also supported if you provide a password. This method does not alter the data, but the watermark is easily sterilized.

Installation

pip install steganodf

Usage

From command line

steganodf encode -i iris.csv -o iris.w.csv -m hello -p password
steganodf decode -i iris.w.csv -p password

From Python

import steganodf 

 
df = pd.read_csv("https://gist.githubusercontent.com/netj/8836201/raw/6f9306ad21398ea43cba4f7d537619d0e07d5ae3/iris.csv")

# Hide your message 
new_df = steganodf.encode_pandas(df, "made by steganodf", password="secret")

# Extract your message 
message = steganodf.decode_pandas(df, password="secret")