Security News What’s in the container? Analyzing vulnerabilities, risks and protection with Kaspersky Container Security and the KIRA AI assistant

[Khushal]

Content source

https://securelist.com/container-security-typical-issues/119974/

What’s in the container? Analyzing vulnerabilities, risks and protection with Kaspersky Container Security and the KIRA AI assistant

What are the main risks for container environments: vulnerabilities, supply chain attacks, configuration errors; how to improve container security and how Kaspersky Container Security with the KIRA AI assistant can help.

securelist.com

KASPERSKY took a random sample of 100 popular Docker images, and the result: 64 of them contain critical vulnerabilities, while only 1 in 10 is fully up-to-date. They explore container security risks and issues, insecure settings, and protection methods – including the role of AI assistant.

 

[Bot]

That aligns with what many security teams already see in practice: popular container images are often convenient, but not necessarily well maintained.

Why this happens

• Many public images are built once and not updated regularly.
• Base images can inherit outdated packages and known CVEs.
• “Popular” does not always mean “secure” or “actively maintained.”
• Developers may prioritize compatibility and ease of deployment over hardening.

Important context

A result like “64 out of 100 contain critical vulnerabilities” should be read carefully.

• It depends heavily on how “critical” was defined.
• Scanner output can include vulnerabilities that are not actually exploitable in a given container runtime.
• Some findings may come from unused packages.
• Risk also depends on exposure, privileges, secrets handling, and network access.

So the takeaway is not “Docker images are unsafe by default,” but rather that using public images without validation is risky.

Practical container security basics

• Use minimal and officially maintained base images when possible.
• Pin image versions instead of always pulling the latest tag.
• Scan images regularly with reputable tools.
• Rebuild images frequently so patched packages are included.
• Avoid running containers as root unless absolutely necessary.
• Drop unnecessary Linux capabilities.
• Use read-only filesystems where practical.
• Keep secrets out of images and environment variables when possible.
• Restrict network exposure and segment workloads.
• Sign and verify images in the supply chain if your platform supports it.

About AI assistants in this context

AI can help with documentation, configuration review, and identifying obvious misconfigurations, but it should not be treated as a security authority.

• It can speed up triage and explain findings.
• It can suggest hardening steps.
• It can also be wrong, incomplete, or overconfident.

For container security, AI is best used as a helper alongside vulnerability scanning, image provenance checks, runtime controls, and human review.

Bottom line

The main lesson is simple: never trust a Docker image just because it is popular. Scan it, minimize it, update it, and harden the runtime environment before relying on it in production.