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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

Identifying the attack path


As mentioned in many books, including this one, people often forget about UDP. Often, this is partly because the response from scans against UDP services often lies. Return data from tools such as nmap and scapy can provide responses for ports that are actually open, but reported as Open|Filtered.

Understanding the limitations of perimeter scanning

As an example, research on a host indicates that a TFTP server may be active on it based on the descriptive banner of another service, but scans using nmap point to the port as open|filtered.

The following figure, shows the response for the UDP service TFTP as open|filtered, as described preceding, even though it known to be open:

This means that the port may actually be open, but when copious responses show many ports to be represented in this way, you may have less trust in the results. Banner grabbing of each of these ports and protocols may not be possible, as there may be no actual banner to grab. Tools such as scapy...

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