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Python: Penetration Testing for Developers

You're reading from   Python: Penetration Testing for Developers Execute effective tests to identify software vulnerabilities

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Product type Course
Published in Oct 2016
Publisher Packt
ISBN-13 9781787128187
Length 650 pages
Edition 1st Edition
Languages
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Authors (6):
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Christopher Duffy Christopher Duffy
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Christopher Duffy
Mohit Raj Mohit Raj
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Mohit Raj
Dave Mound Dave Mound
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Dave Mound
Terry Ip Terry Ip
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Terry Ip
Cameron Buchanan Cameron Buchanan
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Cameron Buchanan
Andrew Mabbitt Andrew Mabbitt
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Andrew Mabbitt
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Table of Contents (32) Chapters Close

Python: Penetration Testing for Developers
Python: Penetration Testing for Developers
Credits
Preface
1. Understanding the Penetration Testing Methodology 2. The Basics of Python Scripting FREE CHAPTER 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 11. Python with Penetration Testing and Networking 12. Scanning Pentesting 13. Sniffing and Penetration Testing 14. Wireless Pentesting 15. Foot Printing of a Web Server and a Web Application 16. Client-side and DDoS Attacks 17. Pentesting of SQLI and XSS 18. Gathering Open Source Intelligence 19. Enumeration 20. Vulnerability Identification 21. SQL Injection 22. Web Header Manipulation 23. Image Analysis and Manipulation 24. Encryption and Encoding 25. Payloads and Shells 26. Reporting Bibliography
Index

Generating e-mail addresses from names


In some scenarios, you may have a list of employees for a target company and you want to generate a list of e-mail addresses. E-mail addresses can be potentially useful. You might want to use them to perform a phishing attack, or you might want to use them to try and log on to a company's application, such as an e-mail or a corporate portal containing sensitive internal documentation.

Getting ready

Before you can use this recipe, you will want to have a list of names to work with. If you don't have a list of names, you might want to consider first performing an open source intelligence exercise on your target.

How to do it…

The following code will take a file containing a list of names and generate a list of e-mail addresses in varying formats:

import sys

if len(sys.argv) !=3:
  print "usage: %s name.txt email suffix" % (sys.argv[0])
  sys.exit(0)
for line in open(sys.argv[1]):
  name = ''.join([c for c in line if c == " " or c.isalpha()])
  tokens = name...
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