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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

Developing scripts and identifying errors


Before we jump into creating large-scale scripts, you need to understand the errors that can be produced. If you start creating scripts and generating a bunch of errors, you may get discouraged. Keep in mind that Python does a pretty good job at directing you to what you need to look at. Often, however, the producer of the error is either right before the line referenced or the function called. This in turn can be misleading, so to prevent discouragement, you should understand the definitions that Python may reference in the errors.

Reserved words, keywords, and built-in functions

Reserved words, keywords, and built-in functions are also known as prohibited, which means that the name cannot be used as a variable or function. If the word or function is reused, an error will be shown. There are set words and built-in functions natively within Python, and depending on the version you are using, they can change. You should not worry too much about this...

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