Container Image Remediation for Base-Image Vulnerability Propagation
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Solution Overview
Problem
Software containers often inherit vulnerabilities from their origin images, leading to cascading security issues that existing techniques fail to effectively address.
Innovation Solution
A method and system for software container remediation that identifies vulnerabilities in origin images and rebuilds derived images using non-vulnerable origin images, recursively analyzing ancestor images to replace references and eliminate vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If container images are built by adding layers to base images, then development efficiency and reusability are improved, but vulnerabilities in base images are propagated to all derived images
Solution Approach 1:
The patent segments the container image into a base image and multiple derived images with layers. By identifying which derived images are actually deployed (rather than treating all images uniformly), the system can selectively remediate only the necessary images, maintaining the benefits of layer-based development while addressing security issues in specific instances.
Solution Approach 2:
The patent changes the parameter of image vulnerability status by detecting vulnerabilities in base images and then remediating them by rebuilding affected derived images. This parameter change approach allows the system to maintain the efficient layer-based build process while transforming vulnerable images into secure ones through targeted rebuilding.
2Reliability
If all derived images are rebuilt when a base image vulnerability is found, then security is improved, but time consumption and resource usage increase
Solution Approach 1:
The patent applies local quality by distinguishing between different types of derived images - those that are actually deployed versus those that are not. The system remediates only the deployed derived images that are affected by base image vulnerabilities, rather than uniformly rebuilding all derived images. This selective approach maintains security where needed while avoiding unnecessary time and resource consumption.
Solution Approach 2:
The patent implements partial action by rebuilding only the subset of derived images that are both affected by vulnerabilities and actually deployed. This avoids the excessive action of rebuilding all possible derived images, thereby reducing remediation time and resource usage while still achieving the security goal of fixing vulnerable deployed containers.
3Measurement precision
If vulnerability scanning is performed on all container images, then detection accuracy is improved, but system complexity and overhead increase
Solution Approach 1:
The patent performs preliminary action by scanning base images before they are used to build derived images. By detecting vulnerabilities in base images upfront and maintaining a record of which base images are vulnerable, the system can later efficiently identify which derived images need remediation without having to scan every derived image individually, thereby reducing overall system complexity.
Solution Approach 2:
The patent introduces an intermediary mechanism that tracks the relationship between base images and derived images, along with vulnerability information. This intermediary layer allows the system to leverage the scan results from base images to determine which derived images are affected, avoiding the need for complex scanning of every derived image and reducing overall system complexity.
Data Source
AI summary
A system and method for software container remediation. A method includes determining that a vulnerability of a software container resides in a first origin image of the software container at least partially by identifying a plurality of derived container images referencing the origin image which have the vulnerability, wherein a first derived container image of the plurality of derived container images is used to run the software container; and rebuilding the first derived container image using contents of a second origin image, wherein the second origin image avoids the vulnerability.