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22 lip 2023 · In this work, we explore CAPTCHAs in the wild by evaluating users' solving performance and perceptions of unmodified currently-deployed CAPTCHAs.
This paper presents a real-world user study with over 3,600 unbiased (unwitting) participants solving over 9,000 reCAPTCHAv2 challenges. We explore four new dimensions of reCAPTCHAv2 solving time: # of attempts, service type, as well as educational level and major.
25 mar 2021 · We first summarize existing text-based CAPTCHAs using a newly proposed taxonomy based on their resistance mechanisms and systematically review corresponding attacks in terms of methods and...
1 gru 2016 · For this, we have investigated some different types of CAPTCHA including text, image, audio, and video-based CAPTCHAs as well as those that are based on the puzzle.
However, all of the works are offline attacks/analysis, which could not provide practical measurements of to what extent automated programs can pass these captchas. In this paper, we design and imple-ment the first fully online system (ImageBreaker) to break Google’s most recent image-based reCaptcha v2.
The reCAPTCHA system achieved an accuracy of 99.1% at the word level (216 errors out of 24,080 words), whereas the accuracy of standard OCR was only 83.5% (3,976 errors). The percentage of words on which both OCR systems made a mistake was 7.3%.
I. INTRODUCTION. Completely Automated Public Turing tests to tell Com-puters and Humans Apart (CAPTCHAs) are widely used by websites to distinguish abusive programs from real human users. Captchas typically present a user with a simple test like reading digits or listening to speech and then ask the user to type in what they saw or heard.
