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Learning Penetration Testing with Python

You're reading from   Learning Penetration Testing with Python Utilize Python scripting to execute effective and efficient penetration tests

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785282324
Length 314 pages
Edition 1st Edition
Languages
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Author (1):
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Christopher Duffy Christopher Duffy
Author Profile Icon Christopher Duffy
Christopher Duffy
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Table of Contents (12) Chapters Close

Preface 1. Understanding the Penetration Testing Methodology FREE CHAPTER 2. The Basics of Python Scripting 3. Identifying Targets with Nmap, Scapy, and Python 4. Executing Credential Attacks with Python 5. Exploiting Services with Python 6. Assessing Web Applications with Python 7. Cracking the Perimeter with Python 8. Exploit Development with Python, Metasploit, and Immunity 9. Automating Reports and Tasks with Python 10. Adding Permanency to Python Tools Index

Understanding the difference between multithreading and multiprocessing

There are two different ways in which simultaneous requests can be executed within Python: multithreading and multiprocessing. Often, these two items are confused with each other, and when you read about them, you will see similar responses on blogs and newsgroups. If you are speaking about using multiple processors and processing cores, you are talking about multiprocessing. If you are staying within the same memory block but not using multiple cores or processes, then you are talking about multithreading. Multithreading, in turn, runs concurrent code but does not execute tasks in parallel due to the Python interpreter's design.

Tip

If you review Chapter 8, Exploit Development with Python, Metasploit, and Immunity, and look at the defined areas of the Windows memory, you will gain a better understanding of how threads and processes work within the Windows memory structure. Keep in mind that the manner in which other...

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