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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

Building industry-standard tools

Python is a fantastic language and these advanced techniques, which highlight controlling threads, processes, I/O, and logging, are pivotal to adding permanency to your scripts. There are a number of examples in the industry that help assess security, such as Sulley. This is a tool that automates the fuzzing of applications in an effort to help identify security weaknesses, the results of which can later be used to write Frameworks such as Metasploit. Other tools help harden security by improving a code base, such as Open Web Application Security Project's (OWASP) Python Security Project. These are examples of tools that started out to fit a missing need and gained strong followings. These tools are mentioned here as to highlight what your tools could become with the right focus.

Tip

As you develop your own tools, keep in mind what your goals are, start small, and add capabilities. This will help you make the project manageable and successful, and the...

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