Skip to content

0x1-1/x64-vm

Repository files navigation

x64 Virtual Machine

A modern x64 virtual machine implementation. This project provides a high-performance and secure virtual machine environment with full x64 architecture support.

Summary

A feature-rich x64 virtual machine implementation with advanced capabilities including JIT compilation, memory encryption, GPU emulation, VM migration, AI-driven optimizations, network virtualization, and backup/recovery systems.

Description

This project implements a complete x64 virtual machine with modern features and optimizations. It supports full x64 instruction set emulation, virtual memory management, nested virtualization, and includes advanced features like JIT compilation, memory encryption, GPU emulation, AI-driven optimizations, network virtualization, and comprehensive backup/recovery systems. The project is designed with modularity in mind, allowing for easy extension and customization.

Project Progress

Completed Features

  • ✅ Project structure reorganization
  • ✅ Core virtual machine implementation
  • ✅ Memory management system
  • ✅ Instruction processing framework
  • ✅ JIT compilation module
  • ✅ Memory encryption system
  • ✅ GPU emulation support
  • ✅ VM migration functionality
  • ✅ AI-driven optimizations
  • ✅ Debugging tools
  • ✅ Configuration management
  • ✅ Utility tools
  • ✅ Test framework
  • ✅ Enhanced security features
  • ✅ Advanced debugging capabilities
  • ✅ Extended GPU support
  • ✅ Network virtualization
  • ✅ Backup and recovery system

In Progress

  • 🔄 Performance optimization
  • 🔄 Documentation updates
  • 🔄 Additional test cases

Features

  • Core Functions (core/)

    • Virtual machine core
    • Memory management
    • Register file operations
    • Nested virtualization support
    • Plugin system
  • Instruction Processing (instructions/)

    • x64 instruction set support
    • Instruction cache
    • Floating-point operations
    • Custom instruction handlers
  • Memory Management (memory/)

    • Virtual memory sections
    • Memory pool
    • Memory protection mechanisms
    • Stack management
  • Security (security/)

    • Memory encryption
    • Memory protection
    • Code signing
    • Secure boot
    • Anti-tampering
    • Secure debugging
    • Security audits
  • JIT Compilation (jit/)

    • Dynamic code compilation
    • Performance optimization
    • Cache management
  • Graphics Processing (graphics/)

    • GPU emulation
    • OpenGL and DirectX support
    • Vulkan support
    • Ray tracing
    • AI acceleration
    • Shader caching
    • Texture compression
    • Async compute
    • Multi-GPU support
  • Network Virtualization (network/)

    • Virtual switch
    • Virtual router
    • Virtual firewall
    • Virtual load balancer
    • Virtual DNS
    • Virtual DHCP
    • Network encryption
    • Network isolation
    • Network monitoring
    • Traffic analysis
  • Backup and Recovery (backup/)

    • Automated backups
    • Incremental backups
    • Backup scheduling
    • Point-in-time recovery
    • Automatic recovery
    • Remote recovery
    • Backup compression
    • Backup encryption
    • Backup verification
    • Integrity checking
  • Debugging (debug/)

    • Advanced debugger
    • Memory watchpoints
    • Register tracking
    • Instruction tracing
    • Call stack tracing
    • Memory access tracing
    • Crash dump analysis
    • Performance profiling
    • Debug reporting
  • Configuration (config/)

    • Configuration management
    • Settings file processing
  • Utility Tools (utils/)

    • Thread pool
    • Logging
    • Numerical operations
    • Compiler utilities
  • Tests (tests/)

    • Unit tests
    • VM tests
    • Performance tests

Dependencies

  • OpenSSL
  • OpenGL
  • DirectX
  • Vulkan
  • TensorFlow
  • Boost (system, serialization)
  • LLVM
  • libpcap
  • zlib
  • OpenSSL

Installation

# Install required dependencies
# For Windows, you can use vcpkg:
vcpkg install openssl:x64-windows
vcpkg install opengl:x64-windows
vcpkg install directx:x64-windows
vcpkg install vulkan:x64-windows
vcpkg install tensorflow:x64-windows
vcpkg install boost-system:x64-windows
vcpkg install boost-serialization:x64-windows
vcpkg install llvm:x64-windows
vcpkg install libpcap:x64-windows
vcpkg install zlib:x64-windows

# Build the project
mkdir build
cd build
cmake ..
cmake --build .

Usage

#include "core/virtual_machine.hpp"
#include "core/virtual_memory.hpp"
#include "instructions/instruction.hpp"
#include "security/security_manager.hpp"
#include "debug/debug_manager.hpp"
#include "graphics/gpu_manager.hpp"
#include "network/network_manager.hpp"
#include "backup/backup_manager.hpp"

int main() {
    // Create virtual machine instance
    x64_vm::core::VirtualMachine vm;
    
    // Initialize security
    x64_vm::security::SecurityManager security;
    security.enable_memory_protection();
    security.enable_secure_boot();
    
    // Initialize debugging
    x64_vm::debug::DebugManager debug;
    debug.enable_instruction_tracing();
    debug.enable_memory_watchpoints();
    
    // Initialize GPU
    x64_vm::graphics::GPUManager gpu;
    gpu.initialize_gpu();
    gpu.enable_directx_support();
    gpu.enable_ray_tracing();
    
    // Initialize network
    x64_vm::network::NetworkManager network;
    network.initialize_network();
    network.enable_virtual_switch();
    network.enable_network_encryption();
    
    // Initialize backup
    x64_vm::backup::BackupManager backup;
    backup.initialize_backup();
    backup.enable_incremental_backup();
    backup.enable_encryption();
    
    // Allocate memory
    vm.allocate_memory(1024 * 1024); // 1MB
    
    // Load instructions
    std::vector<uint8_t> code = { /* ... */ };
    vm.load_code(code);
    
    // Run
    vm.run();
    
    return 0;
}

Contributing

  1. Fork this repository
  2. Create a new feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to your branch (git push origin feature/amazing-feature)
  5. Create a Pull Request

License

This project is licensed under the MIT License. See the LICENSE file for details.

Runtime Application Self-Protection (RASP)

The RASP manager provides real-time security monitoring and protection for the virtual machine:

  • Memory Access Protection: Monitors and controls user space memory accesses
  • System Call Protection: Controls and validates system calls
  • File Access Protection: Enforces file access rules and permissions
  • Continuous Monitoring: Background thread for real-time security monitoring
  • Dynamic Rule Management: Adapts security policies based on violation patterns

Key Security Features

  • Memory access validation
  • System call filtering
  • File access control
  • Suspicious behavior detection
  • Automatic rule adjustment
  • Violation logging and reporting

Building

mkdir build
cd build
cmake ..
make

Running

./x64vm [options]

Security

The virtual machine implements multiple layers of security:

  1. RASP Protection

    • Memory access validation
    • System call filtering
    • File access control
    • Real-time monitoring
  2. HSM Integration

    • Hardware-based encryption
    • Secure key storage
    • Cryptographic operations
  3. Network Security

    • TLS encryption
    • Secure API endpoints
    • Access control

Monitoring

The system includes comprehensive monitoring capabilities:

  • Performance metrics
  • Security events
  • Resource usage
  • System health

About

Virtual Machine for x64 and x86 systems

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages