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arXiv 2401.00515cs.SE
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Golang 生态系统中漏洞生命周期的实证分析

Empirical Analysis of Vulnerabilities Life Cycle in Golang Ecosystem

Jinchang Hu, Lyuye Zhang, Chengwei Liu, Sen Yang, Song Huang, Yang Liu

AI总结:

本文实证分析 Golang 生态系统的漏洞生命周期,构建多源数据融合框架量化补丁滞后,发现 66.10% 的模块受漏洞影响,并揭示两类修复传播滞后及其成因,提出及时发布和索引补丁版本以提升生态安全。

摘要:

开源软件(OSS)极大地便利了开发者的程序开发。然而,开源软件中大量的漏洞是一个主要问题,Golang 这一相对较新的编程语言也不例外。与其他常用的 OSS 包管理器相比,Golang 具有一个显著特点:提交(commit)在集成到官方发布版本之前,普遍被用作依赖版本。这一特性对用户可能是有利的,因为补丁提交可以在发布之前及时实施。然而,Golang 采用去中心化的依赖管理机制,依赖项在独立的仓库中维护和分发。这种方式可能导致补丁传播延迟和漏洞无法及时解决。为应对上述问题,我们开展了一项全面调查,研究 Golang 中漏洞从引入到修复的整个生命周期。为此,我们建立了一个框架,从多种来源收集数据,并通过算法系统性地整合这些数据,以计算漏洞修补的滞后时间。结果发现,Golang 生态系统中 66.10% 的模块受到漏洞影响。在漏洞生命周期中,我们发现了两种阻碍漏洞修复传播的滞后类型。通过分析未滞后漏洞和滞后漏洞背后的原因,及时发布和索引补丁版本可以显著增强生态系统安全性。

英文摘要:

Open-source software (OSS) greatly facilitates program development for developers. However, the high number of vulnerabilities in open-source software is a major concern, including in Golang, a relatively new programming language. In contrast to other commonly used OSS package managers, Golang presents a distinctive feature whereby commits are prevalently used as dependency versions prior to their integration into official releases. This attribute can prove advantageous to users, as patch commits can be implemented in a timely manner before the releases. However, Golang employs a decentralized mechanism for managing dependencies, whereby dependencies are upheld and distributed in separate repositories. This approach can result in delays in the dissemination of patches and unresolved vulnerabilities. To tackle the aforementioned concern, a comprehensive investigation was undertaken to examine the life cycle of vulnerability in Golang, commencing from its introduction and culminating with its rectification. To this end, a framework was established by gathering data from diverse sources and systematically amalgamating them with an algorithm to compute the lags in vulnerability patching. It turned out that 66.10% of modules in the Golang ecosystem were affected by vulnerabilities. Within the vulnerability life cycle, we found two kinds of lag impeding the propagation of vulnerability fixing. By analyzing reasons behind non-lagged and lagged vulnerabilities, timely releasing and indexing patch versions could significantly enhance ecosystem security.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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