Dynamic Sandbox Configuration for Malware Detection
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Solution Overview
Problem
Existing malware detection methods using standard sandbox environments are less effective due to their inability to customize system configurations, leading to reduced accuracy in identifying malware, as different malware exploits different system vulnerabilities.
Innovation Solution
A device configures a sandbox environment for malware analysis by determining and using specific system configurations based on file information and client device information, allowing for a customized testing environment that mimics the target device's setup, thereby enhancing detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a standard sandbox environment is used for malware detection, then the detection process is simple and fast, but the detection accuracy is reduced because different malware exploits different system vulnerabilities
Solution Approach 1:
The sandbox environment dynamically adapts its configuration based on the file being analyzed. The system determines configuration information based on file information (such as file type, format, and characteristics) and client device information (such as operating system and hardware specifications), then configures the sandbox to match the target environment. This dynamic customization allows the sandbox to accurately reflect the vulnerabilities of the specific system it is protecting, thereby improving malware detection accuracy without requiring a completely static complex configuration for every possible scenario.
Solution Approach 2:
The system changes key parameters of the sandbox environment based on the analysis requirements. Configuration information is determined by analyzing file information and client device information, then used to adjust sandbox parameters such as operating system version, installed software, hardware specifications, and network settings. This parameter customization ensures that the sandbox accurately represents the target system's vulnerability profile, enabling more precise malware detection while avoiding the need to maintain multiple complete pre-configured sandbox environments.
2Reliability
If a customized sandbox environment is configured based on file and client device information, then malware detection accuracy is improved, but the configuration process becomes more complex
Solution Approach 1:
The system performs preliminary determination of configuration information before actually configuring the sandbox environment. It analyzes file information (file type, format, characteristics) and client device information (operating system, hardware specs) in advance, then uses this pre-determined configuration information to set up the appropriate sandbox. This preliminary action allows the system to automatically select and apply the correct configuration template, reducing the complexity of the configuration process while ensuring reliable malware testing effectiveness.
Solution Approach 2:
The system creates a copied representation of the client device's environment within the sandbox. Configuration information is determined based on client device information, and the sandbox is configured to replicate the target system's operating system, software applications, hardware characteristics, and network settings. This copying approach ensures that malware is tested in an environment that closely mirrors the actual system it would attack, improving testing reliability while using automated copying processes rather than manual configuration.
3Measurement precision
If a standard sandbox environment is used, then the analysis process is quick, but false positives and negatives increase due to inability to mimic target device configuration
Solution Approach 1:
The system uses a universal configuration determination process that handles multiple file types and client device configurations through a single integrated approach. The configuration information determination mechanism universally processes file information and client device information regardless of the specific file type or device, then selects from predefined configuration templates. This universal process reduces configuration time compared to creating custom configurations for each scenario, while still achieving high detection accuracy by matching the sandbox environment to the specific file and device being analyzed.
Data Source
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AI summary
A device may receive a file to be analyzed in a sandbox environment, and may determine configuration information for configuring the sandbox environment. The configuration information may be determined based on at least one of: file information associated with the file to be analyzed, or client device information associated with a client device for which the file is intended. The device may configure the sandbox environment using the configuration information. The configuration information may identify a system configuration for the sandbox environment. The device may analyze the file in the sandbox environment based on configuring the sandbox environment using the configuration information.