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Common Vulnerabilities and Exploits with Python

by Laurentiu Raducu

Just like any other programming language, Python can also be used by attackers to conduct malicious actions. This course will teach you how to prevent common vulnerabilities with Python.

What you'll learn

Python is becoming increasingly popular not only in data science, but also in the software engineering community. According to the stack overflow annual survey, Python holds the fourth place as the most popular technology. It allows fast development and it’s relatively easy compared to other high-level programming languages. As its popularity grows, and many people are drawn into using it, the reports of being used for vulnerability exploitation emerge. In this course, Common Vulnerabilities and Exploits with Python, you will learn how to exploit those vulnerabilities from the perspective of an attacker, with the main objective to avoid the mistakes of introducing them in your production software First, you will learn how to perform and protect against a buffer overflow attack. You will focus also on the EternalBlue exploit, which affected many Windows operating system versions. Second, you will see how you can create a keylogger application, capable of recording the keystrokes of the victim, as well as taking screenshots from the target’s computer. Finally, you will discover how you can execute shellcode using Python, and how to enhance a malware to detect anti-malware sandboxing techniques and evade them. By the end of this course, you will improve your skill set in using Python for detecting and avoiding common vulnerabilities.

About the author

It all began in highschool, when Laurentiu first started his path in the computer science journey. Initially he started with C++, and fell in love quickly with the prospect of learning to develop software. Thanks to his passion for chess, his first computer program was a console-based ASCII chess game developed in C++. After a while, during university, Laurentiu started to experiment with other OOP programming languages, like Java, Kotlin or Python. He started to play with different tech stacks ... more

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