3.8  19 reviews on Udemy

Binary Exploits with Python

Create simple binary exploits with Python
Course from Udemy
 296 students enrolled
 en
Remove unwanted code such as the password or product key tests, and add Trojan code
Analyze simple Windows executable files and modify them using the Immunity Debugger
Write Python Scripts to perform exploits
Analyze simple Linux executable files and modify them using the gdb debugger

A penetration tester who only knows how to use tools written by others is limited to old techniques. Learning to develop your own exploits will make you much more powerful. Python is the favorite choice for penetration testers because it combines simplicity and ease of use with advanced features.

This video course starts with high-level code injection, the simplest sort of exploit. It then explains binary exploits that allow you to skip past unwanted code, such as the password or product key tests, and add Trojan code. You will perform the exploit development process: finding a vulnerability, analyzing a crash in a debugger, creating a crafted attack, and achieving remote code execution on Windows and Linux. You will use the gdb debugger to analyze Linux executables and Python code to exploit them. On Windows, you'll use the Immunity debugger and Python.

About the Author

Sam Bowne has been teaching computer networking and security classes at City College San Francisco since 2000. He has given talks and hands-on trainings at DEFCON, HOPE, B-Sides SF, B-Sides LV, BayThreat, LayerOne, Toorcon, and many other schools and conferences. Credentials: PhD, CISSP, DEF CON Black-Badge Co-Winner 

Binary Exploits with Python
$ 94.99
per course
Also check at

FAQs About "Binary Exploits with Python"

About

Elektev is on a mission to organize educational content on the Internet and make it easily accessible. Elektev provides users with online course details, reviews and prices on courses aggregated from multiple online education providers.
DISCLOSURE: This page may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.

SOCIAL NETWORK