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Helm Security: Chart Signing, Repository Safety, and Template Hardening

Helm Security: Chart Signing, Repository Safety, and Template Hardening

Part of the Cybersecurity Skills Guide — This article is one deep-dive in our complete guide series.

By HADESS Team | February 28, 2026 | Updated: February 28, 2026 | 5 min read

Helm makes deploying to Kubernetes easy. That convenience also makes it easy to deploy insecure configurations, pull tampered charts, or inject malicious values. Treating Helm security seriously means locking down every stage: chart authoring, distribution, and deployment.

Chart Signing and Verification

Helm supports provenance files (.prov) that cryptographically sign chart packages. Without verification, you are trusting that whatever you pulled from a repository is what the author intended.

Sign a chart during packaging:

bash helm package --sign --key "your-gpg-key" --keyring ~/.gnupg/secring.gpg mychart/ `

Verify before installing:

`bash
helm verify mychart-0.1.0.tgz
helm install myrelease mychart-0.1.0.tgz --verify
`

In CI/CD pipelines, always use –verify. If a chart fails verification, the pipeline should fail. No exceptions.

For Helm 3.x with OCI registries, you get the benefit of container registry signatures (cosign/Sigstore) alongside Helm's built-in provenance. Use both when possible.

Repository Security

Helm chart repositories are HTTP endpoints serving index.yaml and chart tarballs. If someone compromises that endpoint, they control what gets deployed to your clusters.

Practical steps:

  • Use private chart repositories (ChartMuseum, Harbor, or OCI-compliant registries) with authentication
  • Pin chart versions in your Chart.yaml dependencies. Never use ranges like >=1.0.0 in production
  • Mirror public charts into your private repository after review rather than pulling directly from upstream during deploys
  • Enable TLS on all repository endpoints — MITM attacks on chart downloads are straightforward without it

Values Injection Attacks

Helm values are the primary input vector. A malicious or poorly validated values.yaml can inject arbitrary YAML into your rendered manifests.

Consider this template:

`yaml
annotations:
description: {{ .Values.description }}
`

If description contains YAML with newlines and indentation, it can break out of the annotation and inject additional fields or even new resources. Always quote or use toYaml with proper indentation:

`yaml
annotations:
description: {{ .Values.description | quote }}
`

For complex values, validate inputs with JSON Schema. Helm supports values.schema.json — define types, required fields, patterns, and constraints. This catches misconfigurations before they render into Kubernetes manifests.

Template Security Practices

Templates are where configuration meets the cluster. Secure defaults matter:

  • Set securityContext defaults in your templates, not just in values. A missing value should result in a secure default (non-root, read-only filesystem, dropped capabilities).
  • Restrict resource requests and limits — a chart without resource limits enables noisy-neighbor and denial-of-service scenarios.
  • Use lookup cautiously — the lookup function queries the Kubernetes API during rendering. It can leak information and creates dependencies on cluster state.
  • Lint aggressively. Run helm lint –strict and helm template in CI. Use kubeconform or kubeval to validate rendered output against Kubernetes schemas.

Helm in CI/CD

Lock down how Helm runs in your pipelines:

  • Store chart values in version control, not as pipeline variables
  • Use helm diff before helm upgrade to review changes
  • Limit Helm's service account permissions — it does not need cluster-admin
  • Audit Helm releases with helm history` and maintain rollback capability

Related Career Paths

Helm security sits at the intersection of DevSecOps and Cloud Security Engineering. Both roles require understanding how packaging tools affect cluster security posture. Review the skills matrix to see where Helm fits in your development plan.

Next Steps

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