Breaking CaptchaStar Using the BASECASS Methodology

IF 3.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet Technology Pub Date : 2023-02-27 DOI:https://dl.acm.org/doi/10.1145/3546867
Carlos Hernández-Castro, David F. Barrero, Maria Dolores R-Moreno
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引用次数: 0

Abstract

In this article, we present fundamental design flaws of CaptchaStar. We also present a full analysis using the BASECASS methodology that employs machine learning techniques. By means of this methodology, we find an attack that bypasses CaptchaStar with almost 100% accuracy.

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使用BASECASS方法破解验证码
在本文中,我们介绍了CaptchaStar的基本设计缺陷。我们还使用采用机器学习技术的BASECASS方法进行了全面分析。通过这种方法,我们发现了一种几乎100%准确率绕过验证码星的攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Internet Technology
ACM Transactions on Internet Technology 工程技术-计算机:软件工程
CiteScore
10.30
自引率
1.90%
发文量
137
审稿时长
>12 weeks
期刊介绍: ACM Transactions on Internet Technology (TOIT) brings together many computing disciplines including computer software engineering, computer programming languages, middleware, database management, security, knowledge discovery and data mining, networking and distributed systems, communications, performance and scalability etc. TOIT will cover the results and roles of the individual disciplines and the relationshipsamong them.
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