Flash File Malware Detection via Bytecode Pattern Analysis
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Solution Overview
Problem
Current methods for detecting malicious exploitation of Adobe Flash files are inefficient and prone to false positives, particularly due to their reliance on signature-based static code analysis and the risk of causing harm during runtime code analysis.
Innovation Solution
A method that parses the compiled bytecode of Flash files to identify repeated key instructions and examines the constant pool table for specific shellcode strings, allowing for static detection of malicious content without executing the code, thereby reducing false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If runtime code analysis is used to detect malware in Flash files, then detection capability is improved, but system safety deteriorates because the code may cause harm when executed
Solution Approach 1:
The patent performs static code analysis on Flash files before they are executed. By examining the bytecode and constant pool table in advance, the system can identify malicious patterns and shellcode strings without actually running the potentially harmful code, thus maintaining both detection capability and system safety
Solution Approach 2:
The patent introduces an intermediary analysis layer that examines the Flash file's bytecode representation rather than executing the actual application code. This intermediary static analysis approach allows detection of malicious intent without the risks associated with runtime execution
2Object-affected harmful factors
If signature-based static code analysis is used to detect malware, then system safety is maintained by not executing code, but detection accuracy deteriorates due to false positives
Solution Approach 1:
The patent segments the analysis into multiple independent components: examining bytecode instructions, analyzing constant pool tables for shellcode strings, and checking for specific malicious patterns. This multi-faceted approach reduces false positives by requiring multiple indicators of compromise rather than relying on a single signature
Solution Approach 2:
The patent changes the analysis parameters from simple signature matching to a more sophisticated multi-criteria evaluation that includes instruction repetition patterns, equidistant spacing analysis, and shellcode string detection in constant pools, thereby improving detection accuracy while maintaining safety
3Measurement precision
If case by case signature-based analysis is used, then detection specificity is improved for known threats, but productivity deteriorates due to inefficiency
Solution Approach 1:
The patent creates a universal detection framework that can identify multiple types of malicious patterns simultaneously through a single static analysis pass. The system checks for various malicious instruction patterns, shellcode strings, and structural anomalies in one unified process, improving both efficiency and comprehensiveness
Solution Approach 2:
The patent implements continuous monitoring and analysis of Flash files through an automated static analysis system that operates continuously without requiring manual intervention for each file, thereby maintaining high detection specificity while improving overall productivity
Data Source
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AI summary
Systems and methods for detection of malicious exploitations in a multimedia file are disclosed. In one embodiment, such an approach includes parsing the compiled bytecode of a multimedia file to detect identified key instructions and determine if such key instructions are repeated in specific patterns that signify the presence of malicious exploitation. The approach may also include examining the contents of the constant pool table in a compiled multimedia file to detect specific shellcode strings that are indicative of presence of malicious exploitation. When the bytecode or the constant pool table indicates that malicious exploitation is present, an approach may be utilized to reduce instances of false positive identification of malicious exploitation.