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.
Learning Penetration Testing with Python
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Learning Penetration Testing with Python
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Table of Contents (19 chapters)
Learning Penetration Testing with Python
Credits
Disclaimer
About the Author
Acknowlegements
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Understanding the Penetration Testing Methodology
The Basics of Python Scripting
Identifying Targets with Nmap, Scapy, and Python
Executing Credential Attacks with Python
Exploiting Services with Python
Assessing Web Applications with Python
Cracking the Perimeter with Python
Exploit Development with Python, Metasploit, and Immunity
Automating Reports and Tasks with Python
Adding Permanency to Python Tools
Index
Customer Reviews