VR Penetration Testing Using ML-Based Vendor Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Penetration testing of virtual reality (VR) systems is cumbersome and time-consuming for cybersecurity personnel due to manual interaction with VR devices, and existing scanning methods do not provide a full risk assessment of deployed applications.

Innovation Solution

A computer-based system using machine learning to automatically identify VR system characteristics, perform vendor-specific penetration tests, and generate assessment reports, eliminating the need for manual interaction and ensuring comprehensive vulnerability analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual penetration testing is performed by cybersecurity personnel wearing VR devices, then the testing can be conducted on the actual VR system configuration, but the process becomes time-consuming and cumbersome

Engineering Contradiction:

Improveaccuracy of risk assessmentVSAvoidtime required for penetration testing

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent creates a virtual copy of the penetration tester that can interact with the VR system through automated scripts and simulated user actions. This virtual agent replicates human testing behaviors without requiring physical presence, thereby maintaining testing accuracy while eliminating time loss associated with manual setup and execution.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical system of manual VR device handling and physical interaction with an automated software-based testing system. The mechanical actions of wearing devices, navigating interfaces, and interacting with VR elements are substituted with programmated control sequences that execute testing protocols automatically.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If penetration testing is performed before application installation on VR device, then the testing process is simpler, but it does not reflect the actual configuration of deployed applications

Engineering Contradiction:

Improvesimplicity of testing processVSAvoidaccuracy of vulnerability assessment

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent performs preliminary identification and classification of the VR system configuration, application stack, and environment before executing the penetration tests. This preliminary action enables the system to automatically adapt testing parameters and select appropriate test cases based on the detected configuration, maintaining simplicity while ensuring accuracy reflects the actual deployed state.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements a dynamic testing framework that adapts to the actual VR system configuration detected during testing. The test suite automatically adjusts based on the identified VR platform, application version, and system architecture, ensuring that the precision of vulnerability assessment matches the specific configuration being tested while maintaining operational simplicity through automated adaptation.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20260017377A1System and method configured to perform penetration testing of virtual reality systems using machine learning

Publication Date: 2026.01.15 SAUDI ARABIAN OIL CO

AI summary

A system and method perform penetration testing of virtual reality (VR) systems using machine learning. A machine learning module receives VR system parameters of the VR system, identifies characteristics of the VR system from the VR system parameters thereby identifying the VR system, and performs a VR vendor-specific penetration test corresponding to the identified characteristics, thereby generating penetration test results associated with the VR system. A report generating module generates and outputs an assessment report of the VR system using the penetration test results. The method implements the system.