Book Image

Hands-On Penetration Testing with Python

By : Furqan Khan
Book Image

Hands-On Penetration Testing with Python

By: Furqan Khan

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.
Table of Contents (18 chapters)

Multitasking with threads

A thread is a lightweight process that shares the same address and memory space as its parent process. It runs in parallel on the processor cores, thereby giving us parallelism and multitasking capabilities. The fact that it shares the same address and memory space as that of the parent process makes the whole operation of multitasking very lightweight, because there is no context switching overhead involved. In context switching, when a new process is scheduled to be executed, the operating system needs to save the state of the previous process, including the process ID, the instruction pointer, the return address, and so on.

This is a time-consuming activity. Since multitasking with threads doesn't involve the creation of new processes to achieve parallelism, threads provide a very good performance in multitasking activities. Just as in Java...