Game Hacking
New CourseCourse Overview
This advanced course provides a comprehensive, hands-on exploration of game hacking from foundational concepts to cutting-edge techniques. You’ll learn ethical reverse engineering, cheat development, anti-cheat evasion, and the architecture of modern game security systems.
Ethical & Legal Emphasis: This course is designed for security researchers, game developers building anti-cheat systems, and professionals seeking to understand game security. All techniques are taught in controlled environments with ethical guidelines.
From analyzing game memory structures and implementing ESP overlays to understanding kernel-mode anti-cheats like Vanguard and exploring hypervisor-level techniques, this course covers the full spectrum of game hacking knowledge.
Course Modules
Module 1: Foundations & Ethics
Legal considerations, Windows internals, and fundamental concepts
- Ethical hacking principles and legal boundaries
- Terms of Service, EULAs, and DMCA implications
- Windows process architecture and memory model
- Virtual memory: commit vs reserve, page protections
- x64 fundamentals: calling conventions, stack frames
- ASLR, DEP, and modern mitigations
- TEB/PEB structures and process information
- Internal vs External cheating: pros and cons
- Math fundamentals: matrices, quaternions, world-to-screen
Module 2: Reverse Engineering Fundamentals
Tools and techniques for analyzing game internals
- Dynamic analysis with Cheat Engine
- Memory scanning: exact value, unknown initial value, fuzzy scans
- Pointer chain discovery and validation
- Static analysis with IDA Pro and Ghidra
- Signature scanning vs dynamic pointer chains
- Memory layout reconstruction with ReClass.NET
- Reading and interpreting x64 assembly
- Identifying functions: hooks, game loops, rendering
- Working with debug symbols and PDB files
Module 3: Game Engine Internals
Understanding Unity, Unreal, and other engines
- Unity: IL2CPP metadata dumping and class reconstruction
- Unity: global-metadata.dat parsing
- Unity: MonoBehaviour and GameObject structures
- Unreal Engine architecture overview
- Unreal: GNames, GObjects, GUObjectArray
- Unreal: TArray, TWeakObjectPtr, FName structures
- Unreal: Pattern searching for engine globals
- Custom engine analysis techniques
- Extracting game state and object hierarchies
Module 4: Implementation: External Cheats
Building overlays and external tools
- External memory reading with ReadProcessMemory
- WriteProcessMemory and memory modification
- Transparent overlay windows (WS_EX_LAYERED)
- Click-through overlays (WS_EX_TRANSPARENT)
- DWM composition and window layering
- Windows Graphics Capture API
- Direct2D/Direct3D overlay rendering
- World-to-screen transformations
- Building 2D and 3D ESP (wallhacks)
- Multi-monitor handling and display management
Module 5: Implementation: Internal Cheats
DLL injection and in-process manipulation
- DLL injection techniques: LoadLibrary, manual mapping
- Thread hijacking and code caves
- Function hooking: IAT, inline, vtable
- MinHook and PolyHook libraries
- DirectX hooking: Present, EndScene, ResizeBuffers
- ImGui integration for internal menus
- Drawing on the game's rendering context
- Handling multi-threaded game architectures
- Clean injection and unloading strategies
Module 6: Cheat Features Implementation
Building specific cheat functionalities
- ESP (Extra Sensory Perception): 2D boxes, health bars, names
- Aimbot: target selection, bone scanning, prediction
- Aimbot smoothing and humanization techniques
- Visibility checks and line-of-sight testing
- Triggerbot implementation
- Recoil control systems and pattern compensation
- Noclip, teleport, and movement modifications
- Infinite health, ammo, and resource manipulation
- Inventory hacks: item duplication, stat modification
- Speed hacks and time manipulation
Module 7: Anti-Cheat Architecture
Understanding detection systems and countermeasures
- Kernel-mode anti-cheats: EasyAntiCheat, BattlEye
- Valorant Vanguard: architecture and driver communication
- User-mode anti-cheats: VAC, PunkBuster
- Server-side anti-cheat and statistical analysis
- AI-based detection: VACNet and neural network approaches
- Integrity checks: memory scanning, code validation
- Module enumeration and loaded DLL detection
- Handle and thread detection
- Debugger detection techniques
- Hypervisor detection methods
Module 8: Anti-Cheat Evasion
Techniques to avoid detection
- Process hiding and EPROCESS manipulation
- Driver object unlinking
- Kernel callbacks and their removal
- Hardware breakpoint usage and VEH debugging
- Stealth debugging techniques
- Code obfuscation and polymorphism
- Direct syscalls and SSDT shadowing
- Memory allocation strategies to avoid scans
- String encryption and runtime decryption
- Anti-anti-debug techniques
Module 9: Kernel-Mode Development
Writing kernel drivers for game hacking
- Windows Driver Model (WDM) basics
- KMDF driver development
- Kernel memory operations: MmCopyVirtualMemory
- IOCTL communication with user-mode
- Driver signing and test mode
- Vulnerable driver exploitation (DrvMap, KDMapper)
- Reading/writing physical memory
- Hooking kernel functions
- SSDT and IRP hooking
- Kernel security considerations
Module 10: Advanced Techniques
Cutting-edge and research-level approaches
- Hypervisor-based cheats: Intel VT-x/AMD-V
- EPT hooking and memory hiding
- VMCS manipulation for stealth
- DMA-based cheating with PCILeech
- FPGA boards and external hardware
- Network packet analysis and manipulation
- TLS interception and MITM proxies
- Game protocol reverse engineering (protobuf, custom formats)
- Latency compensation and client-side prediction
- Separating cheat PC from gaming PC (multi-monitor merging)
Module 11: Machine Learning & Automation
AI-assisted cheating and detection
- Computer vision aimbots with YOLO and object detection
- Screen capture and image preprocessing
- Real-time inference optimization
- World-space inference from screen-space data
- Reinforcement learning for movement assistance
- Pattern recognition on minimaps
- OCR for game state extraction
- Bot development and automation
- Anti-detection for ML-based cheats
Module 12: Robustness & Maintenance
Building reliable, maintainable cheats
- Auto-updating offset finders
- Signature-based pattern scanning
- Configuration management and profiles
- Error handling and crash recovery
- Logging and debugging techniques
- Version detection and compatibility
- Update detection and auto-patching
- Networked cheats and cloud configurations
- Building stable, production-quality code
Learning Outcomes
- Understand ethical and legal boundaries of game security research
- Reverse engineer game engines (Unity, Unreal) and extract internal structures
- Implement internal (DLL injection) and external cheats
- Develop wallhacks, aimbots, and ESP overlays
- Understand and bypass various anti-cheat architectures
- Work with kernel drivers for stealthy memory operations
- Apply machine learning to cheat detection and development
- Understand DMA-based cheating and hardware approaches
- Build robust auto-updaters and offset finders
Tools & Technologies
Student Testimonials
"This course demystified game hacking completely. As a game developer, understanding these techniques has made our anti-cheat systems significantly more robust."
"Incredibly comprehensive and well-structured. The ethical framework and legal discussions were as valuable as the technical content. Highly recommended for security researchers."
"The hands-on labs were challenging but incredibly rewarding. I went from basic reverse engineering knowledge to understanding cutting-edge kernel and hypervisor techniques."
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