Container security is the practice of securing all components of containerized workloads, including container images and image repositories, the contents of running containers, and the underlying container infrastructure.
Because there is a wide variety of tools and platforms for deploying containers today, the specific processes that factor into container security vary from one environment to another. However, the fundamental components of securing containers are the same regardless of the particular technologies involved.
Since containers offer a flexible and portable way to run applications, they have become a popular solution for deploying software. However, containers also introduce new layers into software delivery pipelines and hosting stacks, such as:
These components add complexity to software environments and increase their attack surface. Container security is important for ensuring that organizations have the defenses in place to secure these components against risks and threats while also defending other resources – such as the operating systems running on servers that host containers – that exist both in containerized and non-containerized hosting environments.
In addition to the fact that container security requires managing a larger attack surface, container security is challenging because containers restrict the direct visibility that developers, IT engineers and security analysts have into workloads. As a result, detecting and reacting to threats can be more challenging.
For example, if analysts perform security monitoring based only on the metrics and logs that are available from the operating system that hosts containers, they may not detect anomalous activity within a container because metrics and logs produced by containers themselves are typically not managed by the operating system. To gain visibility into what is happening inside each container, engineers need security tools that are capable of breaking through the abstraction layer that separates containers from their host servers.
Not all containerized environments include the same types of tools. For example, it’s possible to run containers without using an orchestrator. This means that the components of container security may vary depending on which specific tools and platforms a team uses to manage its containers.
That said, in most cases, container security includes the following key components:
If attackers breach the registry that hosts container images, they could insert malicious code into them, which will in turn spread malware to any environments that run containers based on tainted images.
To protect against this risk, engineers should implement strict access controls that prevent unauthorized access to the contents of container registries. They should also monitor registries for unusual access patterns that could be a sign of malicious activity.
Attackers can exploit vulnerabilities in container runtimes to take control of containers and possibly even the servers that host them. Organizations can manage this risk by ensuring that they manage Docker container security (or the security of whichever runtime they use) by keeping their container runtime software patched and up-to-date.
The environment configuration that admins apply when they run containers can have security implications. For instance, running containers as root is generally not a best practice because it gives them elevated permissions that increase the potential harm caused by a breach. Securing the settings that apply to the environments that host containers is an essential component of container security.
For containerized workloads that use orchestrators, like Kubernetes, it’s crucial to keep the orchestration platform free of known vulnerabilities. In addition, admins should follow best practices when configuring and managing the orchestrator to defend against threats. In Kubernetes container security, for example, admins should use the built-in Role-Based Access Control (RBAC) framework to restrict access to resources.
Stateful containerized applications depend on storage resources. Protecting the data hosted in that storage is another important component of container security.
Containers rely on networks to communicate with each other and to accept and receive external requests. Engineers should therefore secure both internal and external networks by ensuring they are properly configured, as well as monitoring them for unusual activity.
Depending on where containers are hosted, certain additional container security solutions or practices may be available.
For example, teams that use Docker can manage some aspects of Docker container security via the platform’s built-in security scanner to detect malicious dependencies inside container images. On Kubernetes, the native RBAC framework can help protect containerized workloads.
Similarly, when running containers via a managed service such as Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE) or Elastic Kubernetes Service (EKS), organizations may choose to take advantage of the security tooling that is built into the platforms of each service’s cloud provider to help monitor and protect their workloads.
The container security solutions that a team uses to secure containers should provide the following core features:
For most containerized workloads, the following best practices can help minimize the risk of attack and maximize a team’s ability to detect it:
Admins should follow the principle of least privilege when setting up the components within a containerized hosting stack. Least privilege means restricting permissions to the lowest level necessary.
Avoid downloading container images from untrusted registries, which are more likely to contain malware. Where possible, choose registries maintained by well-established, trustworthy organizations.
When it comes to container security, scanning and monitoring only some layers of an environment is not enough. Organizations should continuously monitor all components – from container registries and images to runtime environments, to the underlying infrastructure and everything in between. Comprehensive monitoring maximizes admins’ ability to detect risks.
Although the attack surface for containers is inherently larger than for a non-containerized app, teams can reduce their attack surface by being sure to avoid running unnecessary components or layers. For example, containers that developers launch for testing purposes should be shut down as soon as testing is complete.
The fewer contents that exist inside a container image, the lower the risk of vulnerabilities. For that reason, prefer minimalist images, meaning those that include only the libraries, software packages and other components necessary to run an application.
The key to effective container security is to integrate security into every process and resource that containers depend on. CloudGuard for Workload Protection makes this easy by providing a comprehensive container security solution that provides:
Learn more by reading the Container Security guide, or by requesting a free demo.