A feature matching-based attack on text CAPTCHAs

Jiawei Nian; Zongnan Liang; Xuru Wang; Jiaxuan Gao; Hongjin Liu; Shaolin Zhang

doi:10.1117/12.2640719

3 October 2022 A feature matching-based attack on text CAPTCHAs

Jiawei Nian, Zongnan Liang, Xuru Wang, Jiaxuan Gao, Hongjin Liu, Shaolin Zhang

Proceedings Volume 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022); 122900G (2022) https://doi.org/10.1117/12.2640719
Event: International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 2022, Zhuhai, China

Abstract

CAPTCHA is a key defense technology that improves the security of a website. Text CAPTCHA schemes are the first barrier against attacks on major websites because of simplicity and low cost. In this paper, we proposed a novel, simple, and easy-to-operate feature matching approach to attack text CAPTCHAs. Our method combines a localization network and a feature matching network to attack three real-world text CAPTCHA schemes, including Wikipedia, Baidu and JD. We used 2000 samples for our attack experiments, and the results showed that our proposed method achieved high success rates on all three schemes.

Citation Download Citation

Jiawei Nian, Zongnan Liang, Xuru Wang, Jiaxuan Gao, Hongjin Liu, and Shaolin Zhang "A feature matching-based attack on text CAPTCHAs", Proc. SPIE 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 122900G (3 October 2022); https://doi.org/10.1117/12.2640719

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