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arXiv · 2304.07232

Evaluation of ChatGPT Model for Vulnerability Detection

Anton Cheshkov·Pavel Zadorozhny·Rodion Levichev
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Abstract

In this technical report, we evaluated the performance of the ChatGPT and GPT-3 models for the task of vulnerability detection in code. Our evaluation was conducted on our real-world dataset, using binary and multi-label classification tasks on CWE vulnerabilities. We decided to evaluate the model because it has shown good performance on other code-based tasks, such as solving programming challenges and understanding code at a high level. However, we found that the ChatGPT model performed no better than a dummy classifier for both binary and multi-label classification tasks for code vulnerability detection.

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Anton Cheshkov, Pavel Zadorozhny, Rodion Levichev. 2023-04-12. Evaluation of ChatGPT Model for Vulnerability Detection. https://arxiv.org/abs/2304.07232

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