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Using Deep Learning to Solve Google reCAPTCHA v2’s Image Challenges

机译:使用深度学习解决Google reCAPTCHA v2的图像挑战

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The most popular CAPTCHA service in use today is Google reCAPTCHA v2, whose main offering is an image-based CAPTCHA challenge. This paper looks into the security measures used in reCAPTCHA v2’s image challenges and proposes a deep learning-based solution that can be used to automatically solve them. The proposed method is tested with both a custom object- detection deep learning model as well as Google’s own Cloud Vision API, in conjunction with human mimicking mouse movements to bypass the challenges. The paper also suggests some potential defense measures to increase overall security and other additional attack directions for reCAPTCHA v2.
机译:当今使用最广泛的CAPTCHA服务是Google reCAPTCHA v2,其主要产品是基于图像的CAPTCHA挑战。本文研究了reCAPTCHA v2图像挑战中使用的安全措施,并提出了一种基于深度学习的解决方案,可用于自动解决这些问题。所建议的方法已通过自定义的对象检测深度学习模型以及Google自己的Cloud Vision API进行了测试,并与模仿鼠标动作的人一起绕过了挑战。本文还提出了一些潜在的防御措施,以提高reCAPTCHA v2的整体安全性和其他攻击方向。

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