The Failure of Noise-Based Non-Continuous Audio Captchas

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.


Share this paper on your favorite social network.

Stay in touch

Join the 35K awesome readers community!



Join the 3542 security minded readers that get the latest posts in their inbox!

Learn About:
  • Cutting edge attacks and how to defend against it.
  • Actionable web security and performance tips.
  • Emerging cyber-security trends.
Enter your email and stay on top of things.
No spam I promise and you can unsubscribe anytime.
Elie Bursztein © 2016
About Me

Recent entries