linux-exploitation-course
Linux Exploitation Course
An intermediate-level Linux exploitation course covering various techniques and methods
A Course on Intermediate Level Linux Exploitation
988 stars
68 watching
227 forks
Language: Python
last commit: about 4 years ago Related projects:
Repository | Description | Stars |
---|---|---|
lazenca/kernel-exploit-tech | A tutorial and resource for learning Linux kernel exploitation techniques | 262 |
adrianmoisey/learn-python | A collection of resources and tutorials for learning the Python programming language | 222 |
codementorio/python-learning-resources | A curated collection of Python learning resources and tutorials | 1,057 |
spro/nalgene | Generates training data for intent parsing systems by creating pairs of sentences and grammar trees from a template file | 55 |
ngalongc/autolocalprivilegeescalation | Automates download and compilation of Linux kernel exploits from exploitdb | 486 |
rfunix/pompem | Automates searches for exploits and vulnerabilities across multiple databases | 984 |
workshopper/how-to-npm | An interactive tutorial for learning how to manage dependencies in Node.js projects | 1,121 |
rosehgal/binexp | A tutorial project on exploiting binary files and writing payloads to manipulate program behavior | 1,303 |
appknox/afe | A toolset for exploiting vulnerabilities in Android-based devices and applications | 186 |
nuxmorpheus/ehrem | Complementing educational resources on malware reverse engineering and low-level programming | 2 |
internlm/tutorial | A comprehensive tutorial project offering in-depth training and practice on advanced language model technologies | 1,530 |
ujjwalkarn/datasciencepython | A curated list of tutorials and resources for learning Python for data science, machine learning, and other related topics. | 5,276 |
packtpublishing/mastering-machine-learning-for-penetration-testing | Teaches penetration testing and cybersecurity techniques using machine learning | 356 |
cylance/introductiontomachinelearningforsecuritypros | A collection of examples and code snippets teaching machine learning concepts to security professionals through hands-on Python projects | 150 |
nngen/nngen | Generates hardware-specific accelerator designs for neural networks | 339 |