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The failure of noise-based non-continuous audio captchas
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The failure of noise-based non-continuous audio captchas

Available Media Publication (PDF) Slides (PDF)
Conference Security and Privacy (S&P) - 2011
Authors Elie Bursztein , Romain Bauxis , Hristo Paskov ,
Citation BibTeX
BibTeX 
@inproceedings{Bursztein2011The,
  title = {The failure of noise-based non-continuous audio captchas},
  author = {Elie Bursztein and Romain Bauxis and Hristo Paskov and Daniele Perito and Celine Fabry and John C. Mitchell},
  booktitle = {Security and Privacy},
  year = {2011},
  organization = {IEEE}
}

Many websites use tests intended to distinguish humans from automated processes as part of account registration and other functions. Widely known as Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHA), such tests are generally intended to supply a visual or audio task that is relatively easy for humans but hard for computers. In this paper, we propose a generic approach for breaking audio CAPTCHAs based on advanced audio processing and machine learning algorithm. We show that our system is able to break all the popular audio CAPTCHA schemes, including Microsoft and Yahoo, that use non continuous speech.

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