Longitudinal risk-based security assessment of docker software container images

Mills, Alan; White, Jonathan; Legg, Phil

Abstract

As the use of software containerisation has increased, so too has the need for security research on their usage, with various surveys and studies conducted to assess the overall security posture of software container images. To date, there has been very little work that has taken a longitudinal view of container security to observe whether vulnerabilities are being resolved over time, as well as understanding the real-world implications of reported vulnerabilities, to assess the evolving security posture. In this work, we study the evolution of 380 software container images across 3 analysis periods between July 2022 and January 2023 to analyse maintenance and vulnerabilities factors over time. We sample across the 3 DockerHub categories: Official, Verified and OSS (Sponsored) Open Source Software. We found that the number of vulnerabilities present increased over time despite many containers receiving regular updates by providers. We also found that the choice of container OS can dramatically impact the number of reported vulnerabilities present over time, with Debian-based images typically having many more vulnerabilities that other Linux distributions, and with some containers still reporting vulnerabilities that date back as far as 1999. However, when taking into account additional reported attributes such as the attack vector required and the existence of a public exploit rated higher than negligible, we found that for each analysis period, less than 1% of all vulnerabilities present what we would consider as high risk real-world impact. Through our investigation, we aim to improve the understanding of the threat landscape posed by software containerisation that is further complicated by the discrepancies between different vulnerability reporting tools.

Citation

Mills, A., White, J., & Legg, P. (2023). Longitudinal risk-based security assessment of docker software container images. Computers and Security, 135, Article 103478. https://doi.org/10.1016/j.cose.2023.103478

• Journal Article Type: Article
• Acceptance Date: Sep 7, 2023
• Online Publication Date: Sep 14, 2023
• Publication Date: Dec 31, 2023
• Deposit Date: Sep 8, 2023
• Publicly Available Date: Nov 8, 2023
• Journal: Computers and Security
• Print ISSN: 0167-4048
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 135
• Article Number: 103478
• Series ISSN: 0167-4048
• DOI: https://doi.org/10.1016/j.cose.2023.103478
• Keywords: Container Security, Vulnerability Analysis, CVE
• Public URL: https://uwe-repository.worktribe.com/output/11084139