Smart Contract Vulnerability Analysis Through Intermediate Representation
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Solution Overview
Problem
Conventional vulnerability analysis technologies are inadequate for analyzing vulnerabilities in smart contract-based software operating on a blockchain, particularly in Ethereum-based platforms, leading to potential security issues and economic damage.
Innovation Solution
An apparatus and method that extracts meta-information from smart contract code, converts it into an intermediate representation language, and analyzes vulnerabilities using code pattern and semantic information to generate a final vulnerability model, supporting multiple platforms and maintaining semantic integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional vulnerability analysis technologies are used, then analysis capability for traditional software is maintained, but analysis capability for smart contract-based software is lost
Solution Approach 1:
The patent introduces an intermediate representation language that serves as a mediator between diverse smart contract source codes and the vulnerability analysis engine. This intermediate representation enables universal analysis across different blockchain platforms while maintaining analysis reliability through standardized semantic interpretation.
Solution Approach 2:
The vulnerability analysis apparatus is designed with universal adaptability to analyze smart contracts across multiple blockchain platforms (Ethereum, Hyperledger Fabric, etc.). The system maintains multi-functionality by handling different programming languages and platform-specific features through a unified analysis framework.
2Adaptability or versatility
If multiple blockchain platforms are supported, then versatility is improved, but system complexity increases
Solution Approach 1:
The intermediate representation language acts as an intermediary layer that abstracts away platform-specific complexities. By converting diverse smart contract codes from different blockchain platforms into a unified intermediate representation, the system achieves multi-platform support without proportionally increasing complexity.
Solution Approach 2:
The system segments the vulnerability analysis process into distinct modular components: source code parsing, intermediate representation generation, semantic analysis, and vulnerability detection. This segmentation allows each component to handle specific tasks independently, making the overall system more manageable despite supporting multiple platforms.
3Measurement precision
If comprehensive vulnerability analysis is performed, then detection precision is improved, but analysis time increases
Solution Approach 1:
The system performs preliminary actions by converting source code to intermediate representation and pre-processing semantic information before vulnerability detection. This preliminary processing organizes the code structure and identifies potential vulnerability patterns early, enabling more efficient comprehensive analysis without excessive time consumption.
Solution Approach 2:
The vulnerability analysis apparatus employs partial analysis strategies by focusing on critical security patterns and high-risk code sections. Rather than analyzing every single line uniformly, the system applies excessive analysis only where vulnerability patterns are detected, balancing detection precision with reasonable analysis time.
Data Source
AI summary
The present invention provides an apparatus for analyzing vulnerabilities of smart contract code, the apparatus including: a meta-information extraction unit configured to extract meta-information about input code, which is source code of a smart contract; an intermediate representation language conversion unit configured to convert the input code into an intermediate representation language based on the meta-information extracted by the meta-information extraction unit; a code analysis unit configured to detect whether there is vulnerable code or a rule violation case by analyzing the input code converted into the intermediate representation language by the intermediate representation language conversion unit; and a vulnerability detection unit configured to generate a final vulnerability model by detecting a vulnerability based on the vulnerable code or the rule violation case detected by the code analysis unit, and also provides an analysis method using the apparatus.