Container security

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Container Security

Hardening rules for Dockerfile, OCI images, Kubernetes manifests, and Helm charts

ALWAYS

• Use multi-stage builds: separate builder/test stages from the final runtime image so build toolchains and source aren't shipped. The last stage should be FROM distroless, FROM scratch, FROM alpine:<digest>, or another minimal base — pinned by SHA256 digest, not just tag.
• Run as a non-root user: USER <uid> (numeric UID >= 10000 for K8s runAsNonRoot policies to be enforceable). Set USER explicitly on the final stage — omitting USER entirely leaves the container running as root by default, which is the same as USER root.
• Use npm ci (and equivalents pnpm install --frozen-lockfile, yarn install --frozen-lockfile) in container builds, not npm install. npm install mutates the lockfile and resolves versions per-build, producing non-deterministic images that drift from the lockfile.
• Add a .dockerignore excluding .git, node_modules, .env, *.pem, *.key, target/, .terraform/, dist/, coverage/.
• Enable BuildKit (DOCKER_BUILDKIT=1 or # syntax=docker/dockerfile:1) for --mount=type=secret support and better cache isolation.
• Emit an SBOM (docker buildx --sbom=true / syft) and attach it to the image so downstream scanners can audit the dependency set.
• Pin apt packages and clean lists in the same layer: apt-get install -y --no-install-recommends pkg=1.2.3 && rm -rf /var/lib/apt/lists/*. Unpinned installs make image contents non-reproducible.
• Set explicit HEALTHCHECK for long-running services and matching livenessProbe / readinessProbe / startupProbe in K8s.
• Set resource requests and limits on every container (CPU and memory).
• Drop all Linux capabilities then add back only what's needed: securityContext.capabilities.drop: [ALL].
• Apply a seccomp profile (RuntimeDefault at minimum) and AppArmor / SELinux where available.
• Mark filesystem read-only: readOnlyRootFilesystem: true; use emptyDir volumes for the few paths that must be writable.
• Scan every image in CI (Trivy, Grype, Snyk, or your registry's scanner) and fail builds on CRITICAL or HIGH severity findings.
• Pull base images by SHA256 digest in production manifests, not by mutable tag.
• For multi-tenant workloads (per-user/per-customer sessions on shared infra), isolate tenants at the kernel boundary: a separate VM — or gVisor / Kata — per tenant, never just separate containers on one shared daemon. Drop privileged, enable user namespaces, and give each tenant its own network. A privileged container on a shared host escapes to the host trivially, so on shared infra that is full compromise of every co-tenant.
• Expose container orchestration to clients only through a scoped, authenticated broker API that performs the few operations a client may request (start/stop my session). The client must never hold direct daemon or cluster access.

NEVER

• Run containers as root or with privileged: true / allowPrivilegeEscalation: true outside of explicit, audited system pods (e.g., CNI plugins).
• Use end-of-life base images. As of mid-2026 this includes node:< 18, python:< 3.10, alpine:< 3.17, debian:< 11 (bullseye), ubuntu:< 20.04, centos:*, ruby:< 3.1, and any non-LTS Node/Python release. EOL images stop receiving security patches; a maintained image with no public CVEs is still safer than an EOL one. Pin via endoflife.date/<runtime> if the runtime is unfamiliar.
• Mount the host docker socket (/var/run/docker.sock) inside an application container. It's effectively root on the host.
• Expose the container daemon API over the network (tcp://…:2375, or :2376 even with TLS) to clients or apps. The daemon API is root-on-host: whoever reaches it runs arbitrary privileged containers and mounts the host filesystem. (A desktop/CLI app talking straight to a remote daemon is the same anti-pattern as a mounted docker.sock, just over TCP.)
• Ship a single shared client credential (one mTLS cert/key, token, or kubeconfig bundled into every copy of a distributed app) to reach that daemon or cluster. Every install holds the same key — trivially extracted from the app bundle — so it grants every user identical access and cannot be revoked per-user. Issue per-user / per-session, short-lived, scoped credentials.
• Run a tenant's container privileged on a host shared with other tenants, or attach tenant containers to a shared external bridge network — the first gives container-escape → co-tenant takeover, the second gives cross-tenant L3 reachability.
• Embed secrets in image layers via ENV, ARG, COPY, or by echo-ing them to a file. Even if --squash'd, BuildKit cache and registry layers leak.
• Run curl … | sh or wget -O- … | sh in a RUN — piping an unverified remote script to a shell is arbitrary remote code at build time. Download, verify a pinned SHA-256, then execute.
• Use latest, stable, slim, or unversioned tags as the final image base — builds become non-reproducible and quietly pick up CVEs.
• Use ADD <url> to fetch remote resources during build (use curl --fail with a checksum verify and RUN instead, or vendor the artifact).
• Disable automountServiceAccountToken when the workload needs the K8s API, but DO disable it (automountServiceAccountToken: false) when it doesn't.
• Use hostNetwork: true, hostPID: true, or hostIPC: true for application pods.
• Run pods in the kube-system namespace, or any namespace without a NetworkPolicy and PodSecurity admission policy.

KNOWN FALSE POSITIVES

• Operators that legitimately need cluster-admin access (kubelet, CSI drivers, CNI plugins) require elevated privileges; they belong in kube-system or a dedicated namespace with auditing, not in application namespaces.
• Bare-metal Kubernetes nodes sometimes legitimately disable seccomp for drivers that aren't compatible; document the exception.
• One-shot debugging pods (kubectl debug, ephemeral containers) intentionally bypass many of these controls; they should not be persisted as YAML in the repo.
• A remote Docker / K8s endpoint over mTLS (:2376) is acceptable for an operator's own CI / build farm where each operator holds a personal, revocable cert — the anti-pattern is shipping one shared cert inside a distributed end-user app.
• privileged or a shared bridge network within a single trust domain (one team's own microservices, or a sim stack on the developer's own machine) is lower-risk than the multi-tenant case; these rules target the shared-host, cross-tenant blast radius specifically.