Can ChatGPT Revolutionize Smart Contract Auditing? Unveiling AI’s Potential in Blockchain Security

Ervin Zubic
Coinmonks
3 min readFeb 23, 2024

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Explore the intriguing possibility of using ChatGPT for smart contract audits in our new research review. Discover if AI can truly enhance blockchain security and reshape crypto’s future.

ChatGPT Auditing Smart Contract — A detailed pencil sketch showing ChatGPT’s interface on a computer screen, analyzing smart contract code with blockchain symbols like chains and padlocks, highlighting the auditing process.
Insightful Audit. Image created using DALL-E.

Introduction

In blockchain technology’s fascinating realm, smart contracts are the backbone of automation and protocol adherence. “Evaluation of ChatGPT’s Smart Contract Auditing Capabilities Based on Chain of Thought,” by Yuying Du and Xueyan Tang from Salus Security in February 2024, delves into the potential of GPT-4 for enhancing smart contract security audits. This study, rooted in meticulous experimentation, assesses ChatGPT’s prowess in identifying common vulnerabilities within smart contracts, a critical aspect given the financial implications of security breaches in this domain.

Summary of the Research Article

The research meticulously evaluates ChatGPT’s (GPT-4) ability to audit smart contracts by identifying vulnerabilities, parsing contract code, and generating Proof of Concepts (PoCs). The study contrasts GPT-4’s detection efficacy against other tools across seven vulnerability types, utilizing a dataset of 35 smart contracts from the SolidiFI-benchmark vulnerability library. Despite a high precision rate, GPT-4 exhibited a low recall, suggesting its tendency to overlook vulnerabilities. Nevertheless, its code parsing showed promise, with the model successfully interpreting contract functionalities and relationships. Regarding PoC writing, GPT-4 demonstrated a remarkable capacity to generate actionable PoCs, underscoring its potential utility in smart contract auditing.

Figure 1. A smart contract smart vulnerability detecting prompt detailing seven specific vulnerabilities to be reviewed in smart contract code. Source: Evaluation of ChatGPT’s Smart Contract Auditing Capabilities Based on Chain of Thought, pg. 7.

Critical Analysis

The study unveils GPT -4’s nuanced capabilities in smart contract auditing. Its high precision yet low recall in vulnerability detection highlights a critical area for improvement, specifically in minimizing overlooked vulnerabilities. However, GPT -4’s adeptness at code parsing and PoC writing signifies its valuable contribution to auditing efficiency. While traditional tools might excel in systematic vulnerability detection, GPT-4 introduces a dynamic, reasoning-based approach, potentially revolutionizing smart contract audits. The study’s methodology, leveraging real-world scenarios and comprehensive metrics, provides a robust evaluation framework.

Figure 2. Comparative analysis of smart contract security vulnerabilities detected by various auditing tools including GPT-4. Source: Evaluation of ChatGPT’s Smart Contract Auditing Capabilities Based on Chain of Thought, pg. 12.

Highlight: The Most Surprising Aspect

Unexpectedly, the study revealed GPT -4’s significant proficiency in generating actionable PoCs, with a success rate of 60%. This aspect is particularly intriguing as it suggests a novel application of AI in validating and demonstrating smart contract vulnerabilities, a task traditionally reserved for human experts. This finding highlights GPT-4’s utility beyond mere detection and its potential to innovate the smart contract security analysis approach.

Implications and Potential

The research underscores GPT -4’s emerging role as an auxiliary tool in smart contract auditing. Its ability to parse code and write PoCs could significantly enhance audit efficiency and reliability. Future applications may see GPT-4 complementing traditional auditing tools, offering a multi-faceted approach to vulnerability detection and security assessment. This study paves the way for further exploration into AI’s integration into blockchain security, potentially setting a new standard for smart contract audits.

Conclusion

“Evaluation of ChatGPT’s Smart Contract Auditing Capabilities Based on Chain of Thought” offers an insightful exploration into leveraging GPT-4 for smart contract security audits. While the model’s detection capabilities require refinement, its code parsing and PoC generation success marks a promising advancement in the field. This research invites stakeholders to consider AI’s role in enhancing smart contract audits, advocating for a hybrid approach that marries AI’s dynamic capabilities with traditional auditing methods.

Explore Next

For more blockchain, cybersecurity, and cybercrime research, visit Blockchain Insights Hub.

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Ervin Zubic
Coinmonks

Writing about cyber threat intelligence, OSINT, financial crime, and blockchain forensics. Follow me on Twitter for the latest insights.