Book Image

Python: Penetration Testing for Developers

By : Christopher Duffy, Mohit , Cameron Buchanan, Andrew Mabbitt, Terry Ip, Dave Mound, Benjamin May
Book Image

Python: Penetration Testing for Developers

By: Christopher Duffy, Mohit , Cameron Buchanan, Andrew Mabbitt, Terry Ip, Dave Mound, Benjamin May

Overview of this book

Cybercriminals are always one step ahead, when it comes to tools and techniques. This means you need to use the same tools and adopt the same mindset to properly secure your software. This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that keeps your software safe. Comprising of three key modules, follow each one to push your Python and security skills to the next level. In the first module, we’ll show you how to get to grips with the fundamentals. This means you’ll quickly find out how to tackle some of the common challenges facing pentesters using custom Python tools designed specifically for your needs. You’ll also learn what tools to use and when, giving you complete confidence when deploying your pentester tools to combat any potential threat. In the next module you’ll begin hacking into the application layer. Covering everything from parameter tampering, DDoS, XXS and SQL injection, it will build on the knowledge and skills you learned in the first module to make you an even more fluent security expert. Finally in the third module, you’ll find more than 60 Python pentesting recipes. We think this will soon become your trusted resource for any pentesting situation. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: ? Learning Penetration Testing with Python by Christopher Duffy ? Python Penetration Testing Essentials by Mohit ? Python Web Penetration Testing Cookbook by Cameron Buchanan,Terry Ip, Andrew Mabbitt, Benjamin May and Dave Mound
Table of Contents (32 chapters)
Python: Penetration Testing for Developers
Python: Penetration Testing for Developers
Credits
Preface
Bibliography
Index

Hiding text in images


In the previous recipes, we've looked at hiding images within another. This is all well and good, but our main aim of this chapter is to pass text that we can use in a command and control style format. The aim of this recipe is to hide some text within an image.

How to do it…

So far, we've looked at focusing on the RGB values of a pixel. In PNGs, we can access another value, the A value. The A value of RGBA is the transparency level of that pixel. In this recipe, we are going to work with this mode, as it will allow us to store 8 bits in the LSBs of each value across two pixels. This means that we can hide a single char value across two pixels, so we will need an image that has a pixel count of at least twice the number of characters we are trying to hide.

Let's look at the script:

from PIL import Image

def Set_LSB(value, bit):
    if bit == '0':
        value = value & 254
    else:
        value = value | 1
    return value

def Hide_message(carrier, message, outfile...