A Container Security Survey: Exploits, Attacks, and Defenses

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2025-01-25 DOI:10.1145/3715001
Omar Jarkas, Ryan Ko, Naipeng Dong, Redowan Mahmud
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Abstract

Containerization significantly boosts cloud computing efficiency by reducing resource consumption, enhancing scalability, and simplifying orchestration. Yet, these same features introduce notable security vulnerabilities due to the shared Linux kernel and reduced isolation compared to traditional virtual machines (VMs). This architecture, while resource-efficient, increases susceptibility to software vulnerabilities, exposing containers to potential breaches; a single kernel vulnerability could compromise all containers on the same host. Existing academic research on container security is often theoretical and lacks empirical data on the nature of attacks, exploits, and vulnerabilities. Studies that do look at vulnerabilities often focus on specific types. This lack of detailed data and breadth hampers the development of effective mitigation strategies and restricts insights into the inherent weaknesses of containers. To address these gaps, our study introduces a novel taxonomy integrating academic knowledge with industry insights and real-world vulnerabilities, creating a comprehensive and actionable framework for container security. We analyzed over 200 container-related vulnerabilities, categorizing them into 47 exploit types across 11 distinct attack vectors. This taxonomy not only advances theoretical understanding but also facilitates the identification of vulnerabilities and the implementation of effective mitigation strategies in containerized environments. Our approach enhances the resilience of these environments by mapping vulnerabilities to their corresponding exploits and mitigation strategies, especially in complex, multi-tenant cloud settings. By providing actionable insights, our taxonomy helps practitioners enhance container security. Our findings have identified critical areas for further investigation, thereby laying a comprehensive foundation for future research and improving container security in cloud environments.
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容器安全调查:利用、攻击和防御
容器化通过减少资源消耗、增强可伸缩性和简化编排,显著提高了云计算效率。然而,与传统虚拟机(vm)相比,由于共享的Linux内核和较低的隔离性,这些相同的特性引入了明显的安全漏洞。这种架构虽然资源高效,但增加了对软件漏洞的敏感性,使容器暴露于潜在的破坏中;单个内核漏洞可能危及同一主机上的所有容器。关于容器安全的现有学术研究通常是理论性的,缺乏关于攻击、利用和漏洞本质的经验数据。针对漏洞的研究通常侧重于特定类型的漏洞。由于缺乏详细的数据和广度,妨碍了制定有效的缓解战略,并限制了对容器固有弱点的认识。为了解决这些差距,我们的研究引入了一种新的分类法,将学术知识与行业见解和现实世界的漏洞相结合,为容器安全创建了一个全面且可操作的框架。我们分析了200多个与容器相关的漏洞,将它们分为47种利用类型,跨越11种不同的攻击向量。这种分类法不仅促进了理论认识,而且有助于在容器化环境中识别漏洞和实施有效的缓解战略。我们的方法通过将漏洞映射到相应的漏洞利用和缓解策略来增强这些环境的弹性,特别是在复杂的多租户云设置中。通过提供可操作的见解,我们的分类法可以帮助从业者增强容器安全性。我们的发现确定了需要进一步调查的关键领域,从而为未来的研究和改进云环境中的容器安全性奠定了全面的基础。
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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