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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

Understanding Nmap


If there is one tool that is ubiquitous through most top-tier and new assessor toolkits, it is nmap. You may find different exploitation frameworks, web application tools, and other preferences, but nmap is a staple tool for many forms of assessment. Now, this is not to say that there are no other tools that can be executed with similar capabilities; it's just that they are not as capable. This includes tools such as AngryIP, HPing, FPing, NetScan, Unicorn scan, and others. From all of these tools, only two stand out as significantly different, and they are HPing and Unicorn scan.

The biggest mistake I see new assessors making with nmap is executing more than one scan at a time from the same host. What they do not realize is that nmap uses the integrated TCP/IP stack of the host operating system. This means that any additional scan executed does not speed the results; instead, the multiple sessions must be handled at the same time by the operating systems TCP/IP stack....

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