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Extended Security Analysis of Hollow Captchas

Gao, Haichang (author)
Xidian Univ, Peoples R China
Wang, Ping (author)
Xidian Univ, Peoples R China
Yan, Jeff (author)
Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
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Tang, Mengyun (author)
Xidian Univ, Peoples R China
Cao, Fang (author)
Xidian Univ, Peoples R China
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 (creator_code:org_t)
Taiwan, Republic of China : National Dong Hwa University * Computer Center, 2018
2018
English.
In: Journal of Internet Technology. - Taiwan, Republic of China : National Dong Hwa University * Computer Center. - 1607-9264 .- 2079-4029. ; 19:4, s. 1075-1088
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Text-based Captchas are now most widely used security technology for differentiating between computers and humans. Hollow Captchas have emerged as one of the latest designs, and they have been deployed by more and more major companies. Besides Yahoo!, Tencent, Sina, China Mobile and Baidu, some other websites, especially for higher security requirement shopping websites are also using this scheme. A main feature of such schemes is to use contour lines to form connected hollow characters with the aim of improving security and usability simultaneously. It is hard for standard techniques to segment and recognize such connected characters, which are however easy for human eyes. In this paper, we provide a systematic security analysis of hollow Captchas. We show that with a simple but novel attack, we can break most hollow Captchas with a relatively high success rate, including those deployed by the major companies. Our attack for the first time combines segmentation and recognition in a single step. We also discuss lessons and guidelines for designing better Captchas.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Interaktionsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)

Keyword

Captcha; Hollow; Graph search; Security

Publication and Content Type

ref (subject category)
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Gao, Haichang
Wang, Ping
Yan, Jeff
Tang, Mengyun
Cao, Fang
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ENGINEERING AND TECHNOLOGY
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Linköping University

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