Do Automated Fixes Truly Mitigate Smart Contract Exploits?

2025-01-08

AI Summary

Prior work lacks empirical benchmarks and quantitative metrics to assess the practical effectiveness of Automated Program Repair (APR) techniques in mitigating smart contract exploitability. Method: We establish the first systematic, exploit-blocking–oriented evaluation framework, built on 143 real-world vulnerable smart contracts and 91 manually crafted, executable exploits. We formally define and quantify “exploit mitigation rate” and rigorously evaluate 20 state-of-the-art APR tools using functional equivalence verification, multi-dimensional repair assessment, and qualitative analysis. Contribution/Results: Our evaluation reveals that APR tools achieve only 27%–73% exploit mitigation—substantially lower than previously claimed efficacy. Widespread systemic flaws—including functional inconsistency and semantic distortion—are identified. This work establishes a new empirical benchmark for assessing APR’s practical utility in blockchain security and pinpoints critical directions for improvement.

Technology Category

• Planning, Routing, and Scheduling: Replanning and Plan Repair
• Natural Language Processing: Safety and Robustness
• Knowledge Representation and Reasoning: Automated Reasoning and Theorem Proving

Application Category

• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Security and Privacy: Cryptocurrency and smart contracts
• Responsible Web: Data and user privacy-enhancing technologies for the Web

Abstract

Automated Program Repair (APR) for smart contract security promises to automatically mitigate smart contract vulnerabilities responsible for billions in financial losses. However, the true effectiveness of this research in addressing smart contract exploits remains uncharted territory. This paper bridges this critical gap by introducing a novel and systematic experimental framework for evaluating exploit mitigation of program repair tools for smart contracts. We qualitatively and quantitatively analyze 20 state-of-the-art APR tools using a dataset of 143 vulnerable smart contracts, for which we manually craft 91 executable exploits. We are the very first to define and measure the essential"exploit mitigation rate", giving researchers and practitioners and real sense of effectiveness of cutting edge techniques. Our findings reveal substantial disparities in the state of the art, with an exploit mitigation rate ranging from a low of 27% to a high of 73%, a result that nobody would guess from reading the original papers. Our study identifies systemic limitations, such as inconsistent functionality preservation, that must be addressed in future research on program repair for smart contracts.

Problem

• Automated Program Repair
• Smart Contracts
• Vulnerability Mitigation

Innovation

• Smart Contract Repair
• Attack Prevention Efficacy
• Success Rate of Attack Blocking