Human Interactive Proofs (HIPs) are a basic security measure on the Internet to avoid several types of automatic attacks. Recently, a new HIP has been designed to increase security: the Civil Rights CAPTCHA. It employs the empathy capacity of humans to further strengthen the security of a well known OCR CAPTCHA, Securimage. In this paper, we analyse it from a security perspective, pointing out its design flaws. Then, we create a successful side-channel attack, leveraging some well-known machine learning algorithms.
CITATION STYLE
Hernández-Castro, C. J., Barrero, D. F., & R-Moreno, M. D. (2015). A machine learning attack against the civil rights CAPTCHA. Studies in Computational Intelligence, 570, 239–248. https://doi.org/10.1007/978-3-319-10422-5_26
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