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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 immunity


We need to first start with the way Immunity is setup. Immunity is an awesome debugger that is based in Python. So many of the plugins to include Mona are written in Python, which means if you need to change something, you just modify the scripts. The main screen for Immunity is split into four sections, and when you hook a process or execute a program you can see the output of the details, as follows.

This layout is the basic appearance in which you will spend most of your time. You can call different windows as necessary for reviewing other running components, such as DLLs. We will cover more of that later, but let us start with creating a basic buffer overflow.

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