基于社区的漏洞分类平台

Jana Komárková, Lukás Sadlek, Martin Laštovička
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引用次数: 4

摘要

许多方法,如攻击图,需要了解漏洞的属性,如影响、先决条件和可利用性。目前,这些属性要么是手动分类,要么过于粗略。我们提出了一个对漏洞进行细粒度、自动分类的程序。此外,我们还提供了一个平台,通过收集和共享有关漏洞和社区标记数据集的原始数据来支持研究人员。我们的分类程序的源代码可以在GitHub上找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Community based platform for vulnerability categorization
Many approaches, such as attack graphs, require knowledge of vulnerability's properties such as impact, prereq- uisities, and exploitability. Currently, those properties are either categorized manually or too roughly. We present a program for granular, automated categorization of vulnerability. Further, we present a platform supporting researchers by gathering and sharing raw data about vulnerabilities and community labeled datasets. The source code of our categorization program is available on GitHub.
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