Text-based CAPTCHA strengths and weaknesses

Authors:
Elie Bursztein;Matthieu Martin;John Mitchell
Affiliations:
Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA
Venue:
Proceedings of the 18th ACM conference on Computer and communications security
Year:
2011

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Abstract

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.