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)

Getting started

A typical Django project follows an MVC-based architecture. The user requests first hit the URLs configured in the Urls.py file, and from there it is forwarded to the appropriate view. The view acts as middleware between the backend core logic and the template/HTML that is rendered to user. views.py has various methods, each of which corresponds to the URL mapper in the Urls.py file. On receiving the request, the logic written in the views class or method prepares the data from models.py and other core business modules. Once all the data is prepared, it is rendered back to the user with the help of templates. Thus, the templates form the UI layer of the web project.

The following diagram represents the Django request-response cycle:

Crawler code

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