Toward just-in-time patching for containerized applications
Olufogorehan Tunde-Onadele, Yuhang Lin, Jingzhu He, Xiaohui Gu · 2020
Containers have become increasingly popular in distributed computing environments. However, recent studies have shown that containerized applications are susceptible to various security attacks. Traditional pre-scheduled software update approaches not only become ineffective under dynamic container environments but also impose high overhead to containers. In this paper, we propose a new on-demand targeted patching framework for containerized applications. OPatch combines dynamic vulnerability exploit identification and targeted vulnerability patching to achieve more efficient security attack containment. We have implemented a prototype of OPatch and evaluated our schemes over 31 real world security vulnerability exploits in 23 commonly used server applications. Results show that OPatch can accurately detect and classify 81% vulnerability exploits and reduce security patching overhead by up to 84% for memory and 40% for disk.