对标标签动态的虚拟引擎

Shuofei Zhu, Ziyi Zhang, Limin Yang, Linhai Song, Gang Wang
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引用次数: 11

摘要

VirusTotal是最大的在线反恶意软件扫描服务。它被安全研究人员广泛用于标记恶意软件数据或作为比较基线。然而,使用VirusTotal的几个重要挑战没有得到解决(例如,VirusTotal标签是否已经稳定,何时可以信任VirusTotal标签),严重损害了依赖VirusTotal的研究项目的准确性。在本文中,我们介绍了VTSet,它包含了一年内超过14,000个文件的每日VirusTotal标签。VTSet可用于建立和评估各种工具,以应对现有的挑战,并促进VirusTotal的使用。除了数据,VTSet还提供了一个演示工具来显示许多测量结果和查询工具,以方便其数据的访问。VTSet的演示视频位于以下链接:https://youtu.be/aSVaUGHxFi4。
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Benchmarking Label Dynamics of VirusTotal Engines
VirusTotal is the largest online anti-malware scanning service. It is widely used by security researchers for labeling malware data or serving as a comparison baseline. However, several important challenges of using VirusTotal are left unaddressed (e.g., whether VirusTotal labels are already stable, when VirusTotal labels can be trusted), severely harming the correctness of research projects depending on VirusTotal. In this paper, we present VTSet, which contains daily VirusTotal labels on more than 14,000 files over one year. VTSet can be used to build and evaluate various tools to tackle the existing challenges and facilitate the usage of VirusTotal. Besides the data, VTSet also provides a demonstration tool to display many measurement results and a query tool to ease the access of its data. A video demonstration of VTSet is located at the following link: https://youtu.be/aSVaUGHxFi4.
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