Showing 101-120 of 1,068 projects
CodeQL is a code analysis platform that powers security research and code scanning for GitHub Advanced Security.
xv6 OS is a research operating system for teaching and learning about operating system design and implementation.
An open-source emulator for the Xbox 360 console, enabling developers to run and test Xbox 360 games and apps on their computers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
Leaked source code for the Mirai botnet, for research and indicator of compromise (IoC) development purposes.
Open Cyber Threat Intelligence Platform for security analysts and researchers
Pupy is a cross-platform C2 and post-exploitation framework written in Python and C for pentesting and security research.
This repository provides the latest state-of-the-art results for a wide range of machine learning problems.
This is a multi-honeypot platform for security research and deception.
Sioyek is a powerful PDF viewer focused on textbooks and research papers, with a range of features for developers.
Command-line tool for searching and downloading iOS app packages from the App Store.
This repository provides a collection of Windows kernel exploit samples for penetration testing and security research.
A powerful OSINT analysis and research tool for tracking people on the internet.
A local, offline-first AI research and report writing assistant for developers building with AI tools.
A powerful binary analysis platform for security research and reverse engineering.
A slow SSH tarpit that sends an endless banner, useful for testing and security research
A curated list of papers and resources focused on 3D Gaussian Splatting, a technique used in neural rendering.
A project that provides a comprehensive collection of Living Off The Land Binaries and Scripts for security research and incident response.
A Python library for web fuzzing and parameter discovery, useful for pentesting and security research.
PyTorch implementation of the Masked Autoencoder (MAE) model for self-supervised learning from Facebook Research.
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