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Text-based CAPTCHA Strengths and Weaknesses

We carry out a systematic study of existing visual CAPTCHAs based on distorted characters that are augmented with anti-segmentation techniques. Applying a systematic evaluation methodology to 15 current CAPTCHA schemes from popular web sites, we find that 13 are vulnerable to automated attacks. Based on this evaluation, we identify a series of recommendations for CAPTCHA designers and attackers, and possible future directions for producing more reliable human/computer distinguishers.

Computer and Communications Security (CCS) 2011
captcha - offensive technologies - study - web security - machine learning

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Elie Bursztein © 2015
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