IoT Firmware Vulnerability Analysis Using Taint Path Preprocessing
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Solution Overview
Problem
Existing vulnerability detection methods for IoT devices, such as dynamic analysis tools, are inadequate due to their reliance on runtime environments and are not suitable for analyzing all parts of the firmware, leading to limitations in identifying vulnerabilities in IoT devices.
Innovation Solution
A system and method for detecting vulnerabilities in IoT devices through preprocessing transmission information related to taint paths, involving taint analysis and symbolic execution, which includes generating a taint path, updating transmission information, and performing block-wise symbolic execution to identify vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If dynamic analysis tools are used to detect vulnerabilities in IoT devices, then automated vulnerability detection is achieved, but the analysis is limited by runtime environment dependencies and cannot analyze all parts of the firmware
Solution Approach 1:
The patent segments the firmware analysis into multiple parts: extracting binary files from firmware, generating call graphs for different functions, performing symbolic execution on specific paths, and analyzing taint propagation separately. This segmentation allows comprehensive coverage of firmware components while maintaining automated analysis capabilities.
Solution Approach 2:
The patent performs preliminary actions by extracting binary files from firmware before analysis, generating call graphs in advance, and pre-processing transmission information related to taint paths. These preliminary steps prepare the data structure to enable complete and automated vulnerability detection without runtime environment dependencies.
2Measurement precision
If traditional vulnerability scanning is performed on executable binaries, then vulnerabilities can be identified, but every part of the firmware program cannot be analyzed
Solution Approach 1:
The patent creates a multi-functional analysis system that combines call graph generation, symbolic execution, and taint analysis in one unified approach. This system can analyze different parts of firmware (kernel, applications, libraries) using the same comprehensive methodology, achieving both high precision vulnerability identification and complete firmware coverage.
Solution Approach 2:
The patent adds dimensional depth to vulnerability analysis by incorporating taint path analysis and symbolic execution beyond traditional scanning. By analyzing data flow, control flow, and taint propagation dimensions simultaneously, the system achieves comprehensive coverage while maintaining precise vulnerability detection.
3Loss of information
If taint analysis is performed to generate transmission information, then contamination paths are identified, but the information requires preprocessing for effective vulnerability analysis
Solution Approach 1:
The patent performs preliminary processing of taint path transmission information by extracting relevant parameters, organizing data structures, and preparing the information before vulnerability analysis. This preprocessing reduces information loss while managing complexity through systematic organization of taint analysis results.
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms raw taint analysis output into structured transmission information suitable for vulnerability detection. This intermediary step manages the complexity by creating standardized data formats and filtering relevant information before passing it to the vulnerability analysis unit.
Data Source
AI summary
Provided are a method of analyzing a vulnerability in software installed on an Internet of things (IoT) device and a vulnerability analysis device for detecting a vulnerability in software installed on an IoT device. In the vulnerability method and device, a target binary file extracted from firmware of the IoT device is acquired, a taint path is generated by performing taint analysis on the target binary file, transmission information related to the taint path is generated, information related to at least one argument in the taint path is analyzed to update the transmission information, and a vulnerability is detected in the target binary file by performing symbolic execution on the target binary file on the basis of the taint path and the transmission information.