PKVIC:补充安全漏洞报告中缺失的软件包信息

IF 7 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Dependable and Secure Computing Pub Date : 2024-07-01 DOI:10.1109/TDSC.2023.3334762
Jinke Song, Qiang Li, Haining Wang, Jiqiang Liu
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引用次数: 0

摘要

现在的安全漏洞报告包含以商业供应商为中心的信息,却没有包含开源软件包的准确信息。开源生态系统使用 Maven、NuGet、NPM 和 Gem 等软件包管理器来管理成千上万的免费代码包。然而,我们发现,当软件包来自开源生态系统时,漏洞报告经常会遗漏易受攻击的软件包信息。为了填补这一空白,我们提出了一个名为 PKVIC(软件包漏洞信息校准)的框架,作为第一个将安全漏洞报告与来自不同开源生态系统的受影响软件包自动关联起来的工具。具体来说,PKVIC 设计了一个生态系统分类器来确定漏洞报告属于哪个生态系统。PKVIC 从用自然语言编写的报告中提取与生态系统中软件名称密切相关的实体。为了从数以百万计的软件包中高效、准确地找到受影响的软件包,我们提出了一种递归遍历方法,根据命名方案和候选命名实体生成软件包标识符。我们实现了 PKVIC 的原型,并进行了全面的实验来验证其功效。其中,我们对来自 20 个知名安全漏洞源的 421,808 份漏洞报告运行了 PKVIC,发现了 11,279 份影响 2,703 个开源软件包的独特漏洞报告。PKVIC 在 Pypi、Gem、NPM、Packagist、Nuget 和 Maven 等 6 个开源生态系统中成功找到了这 2703 个软件包的准确参考 URL。
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PKVIC: Supplement Missing Software Package Information in Security Vulnerability Reports
Nowadays security vulnerability reports contain commercial vendor-centric information but fail to include accurate information of open-source software packages. Open-source ecosystems use package managers, such as Maven, NuGet, NPM, and Gem, to cover hundreds of thousands of free code packages. However, we uncover that vulnerability reports frequently miss the vulnerable software package information when the software package comes from open-source ecosystems. To fill in this gap, we propose a framework called PKVIC (software package vulnerability information calibration), as the first tool to automatically associate security vulnerability reports with affected software packages from different open-source ecosystems. Specifically, PKVIC designs an ecosystem classifier to determine which ecosystem a vulnerability report belongs to. From the reports written in natural language, PKVIC extracts the entities closely related to software names in ecosystems. To efficiently and accurately locate the affected software packages from millions of packages, we propose a recursive traversal method to generate the package identifier based on the naming scheme and candidate named entities. We implemented the prototype of PKVIC and conducted comprehensive experiments to validate its efficacy. In particular, we ran PKVIC over 421,808 vulnerability reports from 20 well-known sources of security vulnerabilities and identified 11,279 unique vulnerability reports that affected 2,703 open-source software packages. PKVIC successfully found the accurate reference URLs for these 2,703 software packages across 6 open-source ecosystems, including Pypi, Gem, NPM, Packagist, Nuget, and Maven.
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来源期刊
IEEE Transactions on Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing 工程技术-计算机:软件工程
CiteScore
11.20
自引率
5.50%
发文量
354
审稿时长
9 months
期刊介绍: The "IEEE Transactions on Dependable and Secure Computing (TDSC)" is a prestigious journal that publishes high-quality, peer-reviewed research in the field of computer science, specifically targeting the development of dependable and secure computing systems and networks. This journal is dedicated to exploring the fundamental principles, methodologies, and mechanisms that enable the design, modeling, and evaluation of systems that meet the required levels of reliability, security, and performance. The scope of TDSC includes research on measurement, modeling, and simulation techniques that contribute to the understanding and improvement of system performance under various constraints. It also covers the foundations necessary for the joint evaluation, verification, and design of systems that balance performance, security, and dependability. By publishing archival research results, TDSC aims to provide a valuable resource for researchers, engineers, and practitioners working in the areas of cybersecurity, fault tolerance, and system reliability. The journal's focus on cutting-edge research ensures that it remains at the forefront of advancements in the field, promoting the development of technologies that are critical for the functioning of modern, complex systems.
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