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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

Creating targeted usernames


When targeting organizations, especially at the perimeter, the easiest way in is to compromise an account. This means that you get at least the basic level of access of that person and can find ways to elevate your privileges. To do that, you need to identify realistic usernames for an organization. The multiple ways to do this include researching of people who work for the organization through sites like http://www.data.com/, https://www.facebook.com/, https://www.linkedin.com/hp/, and http://vault.com/. You can automate some of this with tools like the Harvester.py and Recon-ng, which source Internet exposures and repositories.

This initial research is good, but the amount of time you typically have to do this is limited, unlike malicious actors. So what you can do to supplement the data you find is generate usernames and then verify them against a service port like SMTP with VRFY enabled or Finger. If you find these ports open, especially on the Internet for...

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