Smart Contract Code Graph Patching for Blockchain Vulnerabilities
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Solution Overview
Problem
Smart contracts on blockchain networks are susceptible to programming mistakes and security vulnerabilities such as reentrancy attacks, integer bugs, and other issues, which can lead to significant financial losses and are difficult to remediate due to the immutable nature of the blockchain.
Innovation Solution
A method and system that translates smart contract source code into an abstract syntax tree model, generates a code property graph, enriches it with inferable information, detects vulnerabilities, and applies patches directly to the source code to remediate issues like reentrancy and integer overflows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smart contracts are deployed on blockchain networks, then autonomous agents can manage cryptocurrency and execute transactions, but programming mistakes and security vulnerabilities make them susceptible to attacks and financial losses
Solution Approach 1:
The system performs static analysis of smart contract source code before deployment to identify security vulnerabilities and programming mistakes. By analyzing the code in advance and generating vulnerability reports, the system enables developers to fix issues before the contract is deployed to the blockchain, preventing potential attacks and financial losses while maintaining the autonomous functionality of smart contracts
2Stability of the object's composition
If the blockchain is immutable, then data can be stored in a decentralized and secure way, but vulnerabilities in smart contracts cannot be remediated after deployment
Solution Approach 1:
The system analyzes smart contract source code before deployment to identify vulnerabilities, allowing developers to remediate issues in advance. This preliminary analysis approach enables vulnerability repair without compromising the immutability of the blockchain, as fixes are applied to the code before it is permanently deployed
Solution Approach 2:
The system works with copies of the smart contract source code to perform static analysis and generate vulnerability reports. By analyzing code copies rather than the actual deployed contracts, the system enables vulnerability identification and remediation guidance without altering the immutable blockchain data, allowing developers to create patched versions of the contracts
3Reliability
If manual code review is performed, then security can be improved, but development time and complexity increase
Solution Approach 1:
The system automatically performs static analysis of smart contract source code to identify security vulnerabilities, generating comprehensive vulnerability reports without requiring manual code review. This automated self-service approach maintains high security standards while significantly reducing the time and complexity associated with manual analysis, allowing developers to quickly receive feedback and fix vulnerabilities
Solution Approach 2:
The system replaces manual mechanical code review processes with automated computer-based static analysis. By using computational methods to analyze source code, identify vulnerability patterns, and generate reports, the system eliminates the time-consuming manual inspection process while maintaining thorough security checking capabilities
4Difficulty of detecting and measuring
If static analysis is performed, then vulnerabilities can be detected before deployment, but false positives and false negatives reduce detection accuracy
Solution Approach 1:
The system generates detailed vulnerability reports that provide feedback to developers about detected issues, including vulnerability descriptions, locations in the code, and remediation guidance. This feedback mechanism enables developers to verify detected vulnerabilities and correct false positives or negatives, improving overall detection accuracy through iterative refinement and developer input
Data Source
AI summary
A computer-implemented method for supporting smart contracts in a blockchain network is provided. The method includes translating a source code of a smart contract into an abstract syntax tree model and generating a code property graph based on the abstract syntax tree model. The method further includes performing an enrichment phase, a vulnerability detection phase, and a vulnerability patching phase. In the enrichment phase, the code property graph is enriched with information that is obtained from the abstract syntax tree model. In the vulnerability detection phase, the code property graph is analyzed for predetermined vulnerability patterns in order to detect predetermined vulnerabilities. In the vulnerability patching phase, one or more patches are applied in order to fix the predetermined vulnerabilities. In some examples, the method can perform improved decision-making by optimizing the process for efficiently hardening smart contracts such that vulnerabilities within the contract can be remedied and eliminated.