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

机译:利用深度学习解决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:今天使用的最受欢迎的CAPTCHA服务是Google Recaptcha V2,其主要产品是基于图像的CAPTCHA挑战。本文介绍了reCAPTCHA V2的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,可用于自动解决它们。通过自定义对象检测深度学习模型以及谷歌自己的云视觉API测试了所提出的方法,与人类模仿鼠标运动结合以绕过挑战。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额外的攻击方向。

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