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

Understanding memory addresses and endianness


When looking at the memory, the data is represented in hexadecimal characters 0 - F, each of which represents a value of 0 - 15. For example, the value 0 in hexadecimal would be represented as 0000 in binary and the representation of F would be 1111 in binary.

Using hexadecimal makes it easier to read memory addresses and easier to write them as well. Since we have 32-bit memory addresses, there would be 32 positions for specific bits. Since each hexadecimal value represents four bits, the equivalent representation can be done in eight hexadecimal characters. Keep in mind these hexadecimal characters are paired so that they represent four pairs.

Intel x86 platforms use a little endian notation for the memory addressing, which means the least significant byte comes first. The memory address you read has to be reversed to generate the little endian equivalent. To understand manual conversion to little endian, take a look at the following image and...