Python has several libraries that are very useful for executing web application assessments, but there are limitations. Python is best used for small automation components of web applications that cannot be simulated manually through a transparent proxy, such as Burp. What this means is that specific work streams that you find in applications may be generated on the fly and cannot be replicated easily through a transparent proxy. This is especially true if there are timing concerns. So, if you need to interact with the backend server using multiple request and response mechanisms, then Python may fit the bill.
Learning Penetration Testing with Python
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Learning Penetration Testing with Python
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Table of Contents (19 chapters)
Learning Penetration Testing with Python
Credits
Disclaimer
About the Author
Acknowlegements
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Understanding the Penetration Testing Methodology
The Basics of Python Scripting
Identifying Targets with Nmap, Scapy, and Python
Executing Credential Attacks with Python
Exploiting Services with Python
Assessing Web Applications with Python
Cracking the Perimeter with Python
Exploit Development with Python, Metasploit, and Immunity
Automating Reports and Tasks with Python
Adding Permanency to Python Tools
Index
Customer Reviews