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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 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

Identifying hashes


Nearly every web application you use that stores a password of yours, should store your credentials in some form of hashed format for added security. A good hashing system in place for user passwords can be very useful in case your database is ever stolen, as this will extend the time taken for a hacker to crack them.

For this reason, we have numerous different hashing methods, some of which are reused throughout different applications, such as MD5 and SHA hashes, but some such as Des(UNIX) are less commonly found. Because of this, it is a good idea to be able to match a hash value to the hashing function it belongs to. We cannot base this purely on hash length as many hashing functions share the same length, so to aid us with this we are going to use regular expressions (Regex). This allows us to define the length, the characters used, and whether any numerical values are present.

Getting ready

For this script, we will only be using the re module.

How to do it…

As previously...

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