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Outils de Hacking, PenTest et Cybersécurité pour votre Arsenal de Sécurité !

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awesome-game-security — Curated index of game security research: anti-cheat internals, DMA attacks, reverse engineering, kernel/mobile protections, and graphics API hooking for offensive and defensive analysis. | Kitploit
Outils/GitHubGitHub/gmh5225/awesome-game-security
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GitHubgmh5225/awesome-game-security

awesome-game-security

Curated index of game security research: anti-cheat internals, DMA attacks, reverse engineering, kernel/mobile protections, and graphics API hooking for offensive and defensive analysis.

Voir le dépôtSite web
3.5k499170il y a 5 joursVérifié par Kitploit
Contenu non disponible dans la langue demandée. Affichage de la version anglaise.

awesome-game-securityAwesome

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If you find that some links are not working, you can simply replace the username with gmh5225. 
Or you can send an issue for me.

Show respect to all the projects below, perfect works of art 🫡

NeverC & NeverD — Your Compiler & Decoder for the AI Era

As AI agents increasingly write, analyze, and rewrite low-level code, generic toolchains become a bottleneck. Security researchers need semantics they can trust — deterministic compilation on the way in, and faithful decompilation on the way out. In the age of AI, everyone needs their own compiler and their own decoder.

  • NeverC — The AI-friendly C23 compiler for security research. Pure C23, integrated linker, DynCode pipeline, cross-platform PE/ELF/Mach-O generation, compile-time string encryption, and a plugin API spanning 130+ compiler phases — designed so LLM-generated code compiles correctly more often than C++ alternatives.
  • NeverD — The AI-friendly binary analysis & decompilation engine with 1:1 instruction-level lifting. PE/ELF/Mach-O support, strict semantic fidelity, structured C and LLVM IR output, binary rewrite, and a pure C SDK (libneverd) built for CLI tools, integrators, and AI agents.

Compile with NeverC, analyze and decompile with NeverD — an AI-friendly LLVM toolchain you control, built for security research.

How to contribute?

  • https://github.com/HyunCafe/contribute-practice
  • https://docs.github.com/en/get-started/quickstart/contributing-to-projects

Skills for AI Agents

This repository provides skills that can be used with AI agents and coding assistants such as Cursor, OpenClaw, Claude Code, Codex CLI, and other compatible tools. Install skills to get specialized knowledge about game security topics.

View on learn-skills.dev

Installation:

npx skills add https://github.com/gmh5225/awesome-game-security --skill <skill-name>

Available Skills:

SkillDescription
anti-cheat-systemsLayered integrity, telemetry provenance, detector operation, enforcement evidence and false-positive review
dma-attack-techniquesDMA versus host-mediated acquisition, transport roles, IOMMU scope and memory-forensics evidence
game-engine-resourcesEngine source, runtime metadata, editor/runtime plugins, assets and authoritative-state boundaries
game-hacking-techniquesAttack classes, prerequisite access, trust boundaries, defensive observations and benign counterexamples
graphics-api-hookingGraphics API and translation layers, frame capture, performance traces and observation limits
mobile-securityAndroid/iOS runtime, package provenance, device-integrity evidence and mobile platform boundaries
awesome-game-security-overviewExact repository categories, resource selection, local-layer lookup and source provenance
reverse-engineering-toolsBinary identity, static analysis, symbols, versioned code comparison and offline artifacts
windows-kernel-securityDriver interfaces, callbacks, platform policy, kernel telemetry and forensic coverage
game-server-securityServer authority, sessions, RPC authorization, economy consistency, clocks and replay evidence
game-supply-chain-securityBuild/release authority, signed updates, dependency provenance, mods and content distribution
linux-platform-securityNative Linux, SteamOS, Proton, credentials, isolation and platform-policy evidence
game-security-research-rigorSource reconciliation, claim provenance, detector evaluation, uncertainty and skill regression review

Compiled wiki: agents can also browse wiki/ (see wiki/AGENTS.md) — a maintained knowledge layer over skills, README categories, and descriptions.

Example:

# Install anti-cheat systems skill
npx skills add https://github.com/gmh5225/awesome-game-security --skill anti-cheat-systems

# Install multiple skills
npx skills add https://github.com/gmh5225/awesome-game-security --skill windows-kernel-security
npx skills add https://github.com/gmh5225/awesome-game-security --skill reverse-engineering-tools

Contents

  • Game Engine
  • Mathematics
  • Renderer
  • 3D Graphics
  • AI
  • Image Codec
  • Wavefront Obj
  • Task Scheduler
  • Game Network
  • PhysX SDK
  • Game Develop
  • Game Assets
  • Game Hot Patch
  • Game Testing
  • Game Tools
  • Game Manager
  • Game CI
  • DirectX
  • OpenGL
  • Vulkan
  • Cheat
  • Anti Cheat
  • Some Tricks
  • Windows Security Features
  • WSL
  • WSA
  • Windows Emulator
  • Linux Emulator
  • Android Emulator
  • IOS Emulator
  • Game Boy
  • GameCube/Wii
  • Nintendo 3DS
  • Nintendo Switch
  • Xbox
  • PlayStation
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