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CVE Vulnerability Database
Vulnerability Database/CVE-2026-53488

CVE-2026-53488: Containerd CRI Plugin RCE Vulnerability

CVE-2026-53488 is a remote code execution vulnerability in Containerd's CRI plugin that allows arbitrary command execution via unvalidated container labels. This article covers technical details, affected versions, and patches.

Published:

CVE-2026-53488 Overview

CVE-2026-53488 affects containerd, an open-source container runtime widely used by Kubernetes and other container orchestration platforms. The Container Runtime Interface (CRI) plugin propagates labels from an image configuration, specifically the LABEL instruction in a Dockerfile, to a container without validation. Downstream plugins that consume container labels can then interpret attacker-controlled values as command input. This behavior enables arbitrary command execution on the container host when a malicious image is pulled and run. The Linux Foundation containerd maintainers assigned this issue [CWE-20: Improper Input Validation] and released fixes across the 1.7, 2.0, 2.1, 2.2, and 2.3 branches.

Critical Impact

A crafted container image can execute arbitrary commands on the host through unvalidated labels consumed by CRI plugins.

Affected Products

  • containerd versions prior to 1.7.33
  • containerd 2.0.x prior to 2.0.10, 2.1.x prior to 2.1.9, and 2.2.x prior to 2.2.5
  • containerd 2.3.x prior to 2.3.2

Discovery Timeline

  • 2026-07-01 - CVE-2026-53488 published to NVD
  • 2026-07-02 - Last updated in NVD database

Technical Details for CVE-2026-53488

Vulnerability Analysis

The containerd CRI plugin is responsible for translating Kubernetes pod specifications into runtime operations. During container creation, the plugin reads metadata from the image configuration, including any LABEL entries baked into the image at build time. In vulnerable releases, the CRI plugin forwards these label key-value pairs directly to the created container object without validating their contents.

Other plugins registered with containerd may consume these labels to drive operational logic such as networking, storage mounts, or lifecycle hooks. When a consumer plugin interprets a label value as a shell command, file path, or template parameter, an attacker-supplied string in the image LABEL can trigger unintended execution on the host. This turns an image-supply-chain input into a host-level command channel.

Root Cause

The root cause is missing input validation on image-derived labels before propagation to container metadata. The CRI plugin trusts the image configuration as authoritative and does not enforce a label allowlist, key namespace policy, or value sanitization on labels sourced from the image.

Attack Vector

Exploitation requires the target environment to pull and run a malicious container image whose Dockerfile defines a weaponized LABEL. When a downstream plugin consumes that label, the payload executes in the plugin's context on the host. The attack vector is local per the CVSS 4.0 vector, reflecting that a workload must be scheduled on the affected host, but the initial delivery is typically remote through a registry pull.

No verified public proof-of-concept code is available at time of writing. See the containerd GHSA-xhf5-7wjv-pqxp advisory for technical details.

Detection Methods for CVE-2026-53488

Indicators of Compromise

  • Container images containing LABEL instructions with unusual shell metacharacters, command substitution syntax, or path traversal sequences.
  • Unexpected child processes spawned by containerd or CRI plugin processes shortly after container creation events.
  • New or modified files on host paths that are not part of standard container root filesystem layers.

Detection Strategies

  • Inspect image manifests before deployment and flag LABEL values containing characters such as `, $(, ;, |, or newline sequences.
  • Correlate CRI RunPodSandbox and CreateContainer events with host process creation telemetry to identify anomalous execution originating from plugin binaries.
  • Audit registries and CI pipelines for images built from untrusted base layers or third-party Dockerfiles containing dynamic label content.

Monitoring Recommendations

  • Enable containerd audit logging and forward events to a centralized data lake for retention and querying.
  • Monitor the containerd version fleet-wide and alert on hosts running releases below 1.7.33, 2.0.10, 2.1.9, 2.2.5, or 2.3.2.
  • Track container label sets at admission time using policy engines such as Kyverno or OPA Gatekeeper to detect suspicious label content.

How to Mitigate CVE-2026-53488

Immediate Actions Required

  • Upgrade containerd to a fixed release: 1.7.33, 2.0.10, 2.1.9, 2.2.5, or 2.3.2, matching your current minor branch.
  • Restrict container image sources to signed, trusted registries and enforce image signature verification through Sigstore or equivalent.
  • Review installed containerd plugins and identify any that consume container labels for command construction or file path resolution.

Patch Information

The containerd maintainers released fixes in versions 1.7.33, 2.3.2, 2.2.5, 2.1.9, and 2.0.10. The patches add validation for labels propagated from image configuration to container metadata. Full remediation details are published in the GitHub Security Advisory GHSA-xhf5-7wjv-pqxp.

Workarounds

  • Disable or unload third-party CRI plugins that consume container labels until hosts are patched.
  • Apply admission-control policies that reject pods whose images carry labels outside an approved key namespace.
  • Limit which users and service accounts can pull images from external registries, reducing exposure to malicious LABEL payloads.
bash
# Verify installed containerd version on each node
containerd --version

# Example Kyverno policy fragment: block images with suspicious label values
# (apply through your existing policy pipeline)
# match: any image whose config.Labels contains shell metacharacters

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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