ChatGPT's Potential in Cryptography Misuse Detection: A Comparative Analysis with Static Analysis Tools

Ehsan Firouzi, Mohammad Ghafari, Mike Ebrahimi
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Abstract

The correct adoption of cryptography APIs is challenging for mainstream developers, often resulting in widespread API misuse. Meanwhile, cryptography misuse detectors have demonstrated inconsistent performance and remain largely inaccessible to most developers. We investigated the extent to which ChatGPT can detect cryptography misuses and compared its performance with that of the state-of-the-art static analysis tools. Our investigation, mainly based on the CryptoAPI-Bench benchmark, demonstrated that ChatGPT is effective in identifying cryptography API misuses, and with the use of prompt engineering, it can even outperform leading static cryptography misuse detectors.
ChatGPT 在密码学滥用检测中的潜力:与静态分析工具的比较分析
对于主流开发者来说,正确采用密码学 API 是一项挑战,往往会导致广泛的 API 滥用。与此同时,密码学滥用检测器的性能并不稳定,大多数开发人员仍然无法使用。我们研究了 ChatGPT 能在多大程度上检测到密码学滥用,并将其性能与最先进的静态分析工具进行了比较。我们的调查主要基于 CryptoAPI-Bench 基准,结果表明 ChatGPT 在识别密码学 API 滥用方面非常有效,如果使用提示工程,它的性能甚至可以超过领先的静态密码学滥用检测器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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