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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

Chapter 9. Automating Reports and Tasks with Python

We covered in previous chapters a good amount of information that highlights where Python can help optimize technical fieldwork. We even showed methods in which Python can be used to automate follow-on tasks from one process to another. Each of these will help you better spend your time on priority tasks. This is important because there are three things that potentially limit the successful completion of a penetration test: the time an assessor has to complete the assessment, the limits of the scope of the penetration test, and the skill of the assessor. In this chapter, we are going to show you how to automate tasks such as parsing eXtensible Markup Language (XML) to generate reports from tool data.

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