New Blog | Leveraging Azure Native Tooling to Hunt Kubernetes Security Issues
By singhabhi
Introduction
Container binary drift refers to the phenomenon where a running container deviates from its original image over time. This can happen due to various reasons, such as manual updates, automated processes, or security vulnerabilities. Essentially, the container starts to differ from the static snapshot it was created from, leading to potential inconsistencies and security risks.
When thinking of container image drifts, it is important to understand the following:
Security Risks: Image drift can introduce security risks, as the container may run software or processes that were not part of the original image. This can create a security blind spot, as traditional image scanning may not detect these changes
Detection: Detecting image drift involves monitoring the container for changes that deviate from the original image. This can be done using tools that compare the running container’s state with its original image.
Prevention: To prevent image drift, it is recommended to implement image immutability, regularly update base images, and use image scanning tools. Monitoring and alerting for image drift can also help in identifying and addressing any deviations.
Read the full post here: Leveraging Azure Native Tooling to Hunt Kubernetes Security Issues
By singhabhi
Introduction
Container binary drift refers to the phenomenon where a running container deviates from its original image over time. This can happen due to various reasons, such as manual updates, automated processes, or security vulnerabilities. Essentially, the container starts to differ from the static snapshot it was created from, leading to potential inconsistencies and security risks.
When thinking of container image drifts, it is important to understand the following:
Security Risks: Image drift can introduce security risks, as the container may run software or processes that were not part of the original image. This can create a security blind spot, as traditional image scanning may not detect these changes
Detection: Detecting image drift involves monitoring the container for changes that deviate from the original image. This can be done using tools that compare the running container’s state with its original image.
Prevention: To prevent image drift, it is recommended to implement image immutability, regularly update base images, and use image scanning tools. Monitoring and alerting for image drift can also help in identifying and addressing any deviations.
Read the full post here: Leveraging Azure Native Tooling to Hunt Kubernetes Security Issues
