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How to be low-level programmer
Markdown source for Michael Abrash's Graphics Programming Black Book
A roadmap to teach myself compiler dev, malware reverse engineering, exploitation and kernel dev fundamentals
This is a compilation of notes I've gathered while setting up my own Proxmox server at home.
Various Docker Compose examples of selfhosted FOSS and proprietary projects.
I have created these custom servers for preparing EXP-301 course (aka WUMED) exam and hope it will help to take OSED certification. Feel free to DM me in discord, if you have any questions about so…
Vulnerable server used for learning software exploitation
Signatus - Vulnerable TCP C++ server to practice Win 32 exploitation.
Containing my notes, practice binaries + solutions, blog posts, etc. for the Offensive Security Exploit Developer (OSED/EXP-301)
bespoke tooling for offensive security's Windows Usermode Exploit Dev course (OSED)
Dockerfile for WhisperX: Automatic Speech Recognition with Word-Level Timestamps and Speaker Diarization (Dockerfile, CI image build and test)
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
A collection of awesome software, libraries, learning tutorials, documents and books, awesome resources and cool stuff about ARM and Windows Exploitation.
List of Awesome Advanced Windows Exploitation References
Resources for learning about cybersecurity and CTFs
A communal outpouring of online resources for learning different things in cybersecurity
HackSys Extreme Vulnerable Driver (HEVD) - Windows & Linux
A vast collection of security tools and resources curated by the community.
Resources for Windows exploit development
Tabletop RPG Tools, materials and projects
Base Docker image to run wine programs in a web browser via noVNC (html5 vnc viewer) + Xvfb + x11vnc
🦄 A curated list of the awesome resources about the Vulnerability Research
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…