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Python Web Penetration Testing Cookbook

You're reading from   Python Web Penetration Testing Cookbook Over 60 indispensable Python recipes to ensure you always have the right code on hand for web application testing

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784392932
Length 224 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Gathering Open Source Intelligence FREE CHAPTER 2. Enumeration 3. Vulnerability Identification 4. SQL Injection 5. Web Header Manipulation 6. Image Analysis and Manipulation 7. Encryption and Encoding 8. Payloads and Shells 9. Reporting Index

Extracting messages hidden in LSB


This recipe will allow us to extract messages hidden in images by using the LSB technique from the preceding recipe.

How to do it…

As seen in the previous recipe, we used the LSB of the Red value of an RGB pixel to hide a black or white pixel from an image that we wanted to hide. This recipe will reverse that process to pull the hidden black and white image out of the carrier image. Let's take a look at the function that will do this:

#!/usr/bin/env python

from PIL import Image

def ExtractMessage(carrier, outfile):
    c_image = Image.open(carrier)
    out = Image.new('L', c_image.size)
    width, height = c_image.size
    new_array = []

    for h in range(height):
        for w in range(width):
            ip = c_image.getpixel((w,h))
            if ip[0] & 1 == 0:
                new_array.append(0)
            else:
                new_array.append(255)

    out.putdata(new_array)
    out.save(outfile)
    print "Message extracted and saved to " ...
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