[hsin003]

Hi HN — author here.

This incident showed how AI-generated code can inadvertently introduce vulnerabilities. The cryptominer ran because a dependency version chosen by an AI coding agent had a known CVE.

Containarium now runs centralized pentests and vulnerability checks for all applications on the platform to prevent similar attacks.

Curious if others have similar workflows or lessons learned with AI-generated projects.

[veunes]

Nobody in their right mind builds a pipeline where security relies on a custom container runtime catching things after the fact. Security starts in CI at the image build stage. If your flow actually lets a vulnerable Next.js build slip all the way through to deployment in Containarium, your integration process is fundamentally broken, not your runtime environment

[hsin003]

I agree CI should catch as much as possible — image scanning and dependency checks at build time are table stakes.

But in practice, CI is only a point-in-time guarantee. A build can pass all checks and still become vulnerable later as new CVEs are disclosed.

So the goal isn’t to rely on runtime to “catch mistakes”, but to add a second layer of defense — continuous monitoring and probing for already-deployed services.

If anything, this incident showed us that CI alone isn’t sufficient once systems are long-lived.