A binary file vulnerability dynamic analysis system and use method
By combining multi-dimensional data collection and a lightweight sandbox execution environment with deep learning models, the accuracy problem of dynamic analysis of binary file vulnerabilities was solved, achieving efficient vulnerability detection and tracing across architectures and multiple formats, and generating detailed vulnerability analysis reports.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUANENG POWER INT INC
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-14
AI Technical Summary
Existing dynamic analysis methods for binary file vulnerabilities suffer from poor universality of execution environments, limited data collection dimensions, limited vulnerability identification capabilities, and weak source tracing capabilities, resulting in low detection accuracy.
A multi-dimensional data acquisition module is adopted, which uses instruction hooks, memory monitoring and system call interception technologies, combined with a lightweight and configurable sandbox execution environment, to collect data during the dynamic execution of multi-dimensional binary files. Vulnerability features are identified through time-series feature encoding and graph feature construction, and a visual analysis report is generated using similarity matching and analysis modules.
It enables comprehensive and accurate analysis of binary file vulnerabilities, improves the authenticity and completeness of vulnerability detection, supports cross-architecture and multi-format adaptation, enhances the ability to detect unknown vulnerabilities, and provides complete vulnerability tracing and remediation suggestions.
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