Andrew Searles (University of California Irvine), Renascence Tarafder Prapty (University of California Irvine), Gene Tsudik (University of California Irvine)

Since 2003, CAPTCHAS have been widely used as a barrier against bots, while simultaneously annoying great multitudes of users worldwide. As the use of CAPTCHAS grew, techniques to defeat or bypass them kept improving. In response, CAPTCHAS themselves evolved in terms of sophistication and diversity, becoming increasingly difficult to solve for both bots and humans. Given this long-standing and still-ongoing arms race, it is important to investigate usability, solving performance, and user perceptions of modern CAPTCHAS. In this work, we do so via a large scale (over 3,600 distinct users) 13-month realworld user study and post-study survey. The study, conducted at a large public university, is based on a live account creation and password recovery service with currently prevalent CAPTCHA type: reCAPTCHAv2.

Results show that, with more attempts, users improve in solving checkbox CAPTCHAS. For website developers and user study designers, results indicate that the website context, i.e., whether the service is password recovery or account creation, directly influences (with statistically significant differences) CAPTCHA solving times. We consider the impact of participants’ major and education level, showing that certain majors exhibit better performance, while, in general, education level has a direct impact on solving time. Unsurprisingly, we discover that participants find image CAPTCHAS to be annoying, while checkbox CAPTCHAS are perceived as easy. We also show that, rated via System Usability Scale (SUS), image CAPTCHAS are viewed as “OK”, while checkbox CAPTCHAS are viewed as “good”.

Finally, we also explore the cost and security of reCAPTCHAv2 and conclude that it comes at an immense cost and offers practically no security. Overall, we believe that this study’s results prompt a natural conclusion: reCAPTCHAv2 and similar reCAPTCHA technology should be deprecated.

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NDSS Symposium 2025 Welcome and Opening Remarks

General Chairs: David Balenson, USC Information Sciences Institute and Heng Yin, University of California, Riverside Program Chairs: Christina Pöpper, New York University Abu Dhabi and Hamed Okhravi, MIT Lincoln Laboratory Artifact Evaluation Chairs: Daniele Cono D’Elia, Sapienza University and Mathy Vanhoef, KU Leuven

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SIGuard: Guarding Secure Inference with Post Data Privacy

Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi Lai (CSIRO Data61), Xun Yi (RMIT University), Xingliang Yuan (University of Melbourne)

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Why Do Programmers Do What They Do? A Theory...

Lavanya Sajwan, James Noble, Craig Anslow (Victoria University of Wellington), Robert Biddle (Carleton University)

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SCRUTINIZER: Towards Secure Forensics on Compromised TrustZone

Yiming Zhang (Southern University of Science and Technology and The Hong Kong Polytechnic University), Fengwei Zhang (Southern University of Science and Technology), Xiapu Luo (The Hong Kong Polytechnic University), Rui Hou (Institute of Information Engineering, Chinese Academy of Sciences), Xuhua Ding (Singapore Management University), Zhenkai Liang (National University of Singapore), Shoumeng Yan (Ant Group), Tao…

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