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https://github.com/gmh5225/awesome-game-security
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Add descriptions for 15 archived repos
Co-authored-by: gmh5225.eth <gmh5225@users.noreply.github.com>
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This project is a Rust-based internal cheat base for Counter-Strike 2 designed as a modular framework for building in-game features.
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It organizes interfaces, hooks, settings, and rendering into separate crates and modules, with macro-assisted interface handling and pattern scanning for dynamic offsets.
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The code integrates DirectX 11 and egui for an overlay menu and uses MinHook-based function interception.
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It is primarily aimed at game hacking research and developers who want a starting point for internal CS2 tooling.
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This project is an internal C++ cheat base for Counter-Strike: Global Offensive.
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It includes common features such as ESP, bunnyhop, engine prediction, autowall, and chams, along with hook points like CreateMove and Direct3D reset.
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The codebase uses ImGui and MinHook and is structured around interfaces, netvars, rendering, and utility modules for extension.
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It is mainly intended for cheat development practice and reverse engineering research on Source-engine titles.
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This project provides modified KVM handler sources that intercept and alter RDTSC timing behavior on both Intel VMX and AMD SVM paths.
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It explains how to patch kernel virtualization code, adjust fake timestamp deltas, and configure QEMU CPU flags such as disabling RDTSCP.
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The implementation is in Linux kernel C code and focuses on low-level hypervisor timing control.
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Its primary use case is virtualization and anti-detection research, including experiments around timing-based anti-cheat checks.
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This project is a Windows traffic-shaping packet filter for emulating real-world network conditions.
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It combines a kernel driver built on Windows Filtering Platform callouts with command-line and GUI control applications.
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The tool can inject latency, limit bandwidth, apply packet loss, and manage queue sizes for inbound and outbound traffic.
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It is intended for testing network-sensitive software and games under controlled adverse conditions.
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This project is an IDA Pro plugin that uses large language models to assist binary analysis workflows.
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It can explain function behavior, rename variables, attempt Python reconstructions of small routines, and run vulnerability-oriented checks from decompiled views.
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The plugin is written in Python and integrates with OpenAI-compatible APIs while providing an automated mode that traverses function trees and summarizes findings.
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It targets reverse engineers and game security researchers who want AI-assisted triage inside IDA.
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This project is a mirror and build automation repository for the Windows Subsystem for Android Linux kernel, including superuser-patched variants.
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It maintains branch variants for stock source and KernelSU-enabled source and provides GitHub Actions pipelines for x86_64 and arm64 kernel images.
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A helper shell script can patch required KernelSU configuration entries into WSA kernel trees.
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It is mainly used by Android and platform security researchers who need reproducible WSA kernel builds and customization.
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This project is a leaked Fortnite internal cheat codebase implemented in C++.
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The sources include hook-driven gameplay manipulation, rendering and utility modules, and references to features such as no spread, movement and vehicle exploits, and teleport-related behavior.
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It uses common Windows game-hacking components such as MinHook and Detours for function interception.
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The repository is primarily relevant as a reverse-engineering sample for studying cheat architecture and detection surfaces.
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This project is a leaked external Fortnite cheat source that reads game memory and draws an overlay for targeting and ESP functionality.
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The codebase is C++ with DirectX9 and ImGui components, and it includes camera and bone math, world-to-screen projection, and configurable aim settings.
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It appears structured around external process memory access with driver-assisted reads and an in-game menu for toggling features.
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Its main use case is game cheat research and analysis of external tool design.
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This project is a hands-on tutorial for building PCIe communication systems on Xilinx FPGAs using the XDMA IP core.
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It provides step-by-step examples for BRAM read and write designs, AXI integration, Linux-side C software, and a larger MPEG2 acceleration workflow.
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The material mixes Vivado projects, Verilog and AXI logic, and host tooling guidance, including driver loading and test procedures.
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It is aimed at FPGA and hardware security practitioners, including DMA-oriented game security research scenarios.
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This project is a .NET binary-to-binary obfuscator that rewrites method bodies into long chains of await expressions.
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It leverages custom awaiters and GetAwaiter or GetResult transformations to produce control flow that is harder for decompilers to reconstruct cleanly.
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The implementation is in C# on .NET and ships as a command-line tool with sample programs for testing.
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It is mainly a proof-of-concept for obfuscation research and reverse-engineering resistance experiments.
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This project is a dynamic binary instrumentation toolkit for Android ARM and Thumb targets.
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It combines a hijack injector with a base hooking library to load instrumentation code into running processes and hook function entry points inline.
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The code and build flow rely on C and C++ with Android NDK tooling, plus sample instruments that demonstrate runtime logging and behavior interception.
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It is intended for mobile reverse engineering, runtime analysis, and security research on Android applications.
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This project is a Linux kernel inline-hook framework for intercepting, replacing, and restoring kernel functions at runtime.
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It provides a core module and sample modules, supports multiple architectures including x86, x86_64, arm, arm64, and riscv64, and exposes runtime control via proc interfaces.
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The framework focuses on trampoline-based patching and extended symbol resolution to work with broader kallsyms targets.
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It is designed for kernel debugging, live experimentation, and low-level security research including anti-cheat-related kernel studies.
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This project is a Ghidra-oriented tool that recovers Delphi symbol information from compiled binaries.
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It reconstructs qualified function signatures, parameter metadata, and virtual table context from embedded compiler metadata, then maps results into Ghidra data types.
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The implementation is a Python script for pyghidra and targets a wide range of modern Delphi versions.
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Its primary use case is malware and legacy software reverse engineering where recovering semantic names speeds up analysis.
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This project is a feature-rich hex editor and binary analysis platform for reverse engineers and low-level developers.
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It offers advanced editing, pattern-language-driven parsing and visualization, data inspection, diffing, hashing, integrated disassembly, and plugin extensibility.
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The codebase is primarily C++ with cross-platform desktop support and numerous built-in analysis workflows.
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It is widely used for firmware, file format, memory, and game binary investigation in security research contexts.
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This project is a Binary Ninja plugin that connects decompiler views to OpenAI models for interactive analysis assistance.
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It can summarize what selected functions do from HLIL or pseudo-C and can propose variable renames directly in the analysis view.
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The plugin is written in Python and integrates with Binary Ninja plugin settings and API key management options.
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It is intended for reverse engineers who want AI-assisted triage and annotation during binary security research.
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