Chasing shuabang in apps stores

Sergio de los Santos, Antonio Guzmán, Chema Alonso, Francisco Gomez-Rodriguez
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引用次数: 1

Abstract

There are well-known attack techniques that threaten current apps stores. However, the complexity of these environments and their high rate of variability have prevented any effective analysis aimed at mitigating the effects of these threats. In this paper, the analysis performed over one of these techniques, Shuabang, is introduced. The completion of this analysis has been supported by a new tool that facilitates the correlation of large amounts of information from different apps stores.
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在应用商店里追逐说邦
有一些众所周知的攻击技术威胁着当前的应用商店。然而,这些环境的复杂性及其高变异性阻碍了任何旨在减轻这些威胁影响的有效分析。本文介绍了对其中一种技术Shuabang的分析。这项分析的完成得益于一个新工具,该工具可以将来自不同应用商店的大量信息进行关联。
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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