VM Register Caching for Faster Malware Memory Introspection

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Solution Overview

Problem

Virtual machine introspection for security and performance monitoring is resource-intensive due to the large size of virtual machine memory, leading to inefficiencies and potential false positives in malware detection.

Innovation Solution

Caching of operating system registry contents, particularly CR3 register values, to efficiently locate and identify important operating system properties within virtual machine memory, using unique identifiers to avoid redundant scanning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If virtual machine memory is processed to derive insights, then security and performance monitoring capabilities are improved, but processing time and resource consumption increase

Engineering Contradiction:
Improvesecurity monitoring capabilityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent extracts only the most critical memory regions (process address spaces pointed to by CR3 registers) for introspection, rather than scanning entire virtual machine memory. This selective extraction of relevant memory sections enables security monitoring while significantly reducing processing time and resource consumption.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments virtual machine memory into individual process address spaces, each identified by unique CR3 register values. By dividing the large memory space into manageable process-level segments and scanning them individually, the system achieves efficient introspection without processing the entire memory space.

Inventive Principle:
Principle #1Segmentation

2Reliability

If virtual machine memory is scanned to detect malware, then detection accuracy is improved, but resource consumption increases

Engineering Contradiction:
Improvemalware detection accuracyVSAvoidresource consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent extracts and scans only the process address spaces that are most likely to contain malware indicators, identified through CR3 register values. This selective extraction maintains detection accuracy while reducing the energy and computational resources required for scanning compared to examining entire virtual machine memory.

Inventive Principle:
Principle #2Taking out (Extraction)

3Adaptability or versatility

If agent-based threat detection is used, then detection coverage is improved, but system complexity increases

Engineering Contradiction:
Improvedetection coverageVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces CR3 register values as an intermediary mechanism to identify and locate process address spaces for malware detection. This intermediary approach provides comprehensive detection coverage through the hypervisor without requiring complex agent-based systems within each virtual machine, thereby reducing overall system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12554526B2Register caching for efficient virtual machine introspection
Publication Date: 2026.02.17 GOOGLE LLC
  • US12554526B2 patent drawing
  • US12554526B2 patent drawing
  • US12554526B2 patent drawing

AI summary

A virtual machine malware detection service caches contents that correspond to operating system registries. By caching the content of important registers, the malware detector is able to efficiently traverse virtual machine memory contents to identify important operating system properties. Examples of such operating system properties include a list of running processes. The malware detector replaces agent-based threat detection for compute endpoints. The malware detector detects cryptocurrency miners and malware by scanning guest virtual machine (VM) memories. The guest VM memory may be scanned according to the guest physical address. According to some examples, the memories of guest user processes may be scanned one by one, using the page table address for each guest process to efficiently locate its memory.