In this chapter, we discussed some more advanced concepts of Python, which allow us to increase the throughput. We discussed multiprocessing Python modules and how they can be used to reduce the time taken and increase our processing capabilities. With this chapter, we have essentially covered everything that we would need from Python for us to step into the world of penetration testing, automation, and various cybersecurity use cases. It should be noted that, from here on, our emphasis will be on applying the concepts we have studied so far, with less explanation as to how they work. For this reason, if you have any doubts, I would strongly recommend that you clarify these before moving ahead. In the next chapter, we will talk about how can we use Python to parse PCAP files, automate Nmap scanning, and much more. For all security enthusiasts, let's get to business...
Hands-On Penetration Testing with Python
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Hands-On Penetration Testing with Python
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Overview of this book
With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers.
Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python.
By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits.
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Current Title:
Hands-On Penetration Testing with Python
Table of Contents (18 chapters)
Preface
Free Chapter
Introduction to Python
Building Python Scripts
Concept Handling
Advanced Python Modules
Vulnerability Scanner Python - Part 1
Vulnerability Scanner Python - Part 2
Machine Learning and Cybersecurity
Automating Web Application Scanning - Part 1
Automated Web Application Scanning - Part 2
Building a Custom Crawler
Reverse Engineering Linux Applications
Reverse Engineering Windows Applications
Exploit Development
Cyber Threat Intelligence
Other Wonders of Python
Assessments
Other Books You May Enjoy
Customer Reviews