Parsing nmap XML is extremely useful, but consider how helpful this capability is for reading and organizing other security tool outputs as well. We showed you how to create Python classes, parse XML structures, and generate unique datasets. By the end of all of this, we were able to create an Excel spreadsheet that can represent data in a filterable format. In the next chapter, we will highlight how to add multithreading capabilities and permanency to our Python scripts.
Learning Penetration Testing with Python
By :
Learning Penetration Testing with Python
By:
Overview of this book
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