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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 protection mechanisms

There are entire books dedicated to some of the tools out there for administrators and developers, which will prevent many exploits. They include items such as Data Execution Prevention (DEP), which would stop code like ours from working if the code and OS were configured to take advantage of it. This is done by preventing execution of data on the stack. We can bypass DEP by simply overwriting the Structured Exception Handling (SEH) to run our own code instead.

Stack Canaries, which are basically mathematical constructs in the stack, check when the return pointer is called. If the value has changed then something has gone wrong and an exception is raised. If an attacker determines the value the guard is checking for, it can be injected into the shellcode to prevent an exception.

Finally, there is Address Space Layer Randomization (ASLR), which randomizes locations in memory we take advantage of. ASLR is much tougher to beat than the other two, but it basically...

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