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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

Functions


Python functions allow a scripter to create a repeatable task and have it called frequently throughout the script. When a function is part of a class or module, it means that a certain portion of the script can be called specifically from another script, also known as a module, once imported to execute a task. An additional benefit in using Python functions is the reduction of script size. An often unexpected benefit is the ability to copy functions from one script to another, speeding up development.

The impact of dynamically typed languages on functions on functions

Remember that variables hold references to objects, so as the script is written, you are executing tests with variables that reference the value. One fact about this is that the variable can change and can still point to the original value. When a variable is passed to a function through a parameter, it is done as an alias of the original object. So, when you are writing a function, the variable name within the function...

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