CVE-2026-13325 (GCVE-0-2026-13325)

Vulnerability from cvelistv5 – Published: 2026-06-26 10:41 – Updated: 2026-06-26 18:42
VLAI
Title
Virt-handler-rhel9: kubevirt: kubevirt: disabletls migration setting removes authentication, exposing unauthenticated virtqemud proxy on all interfaces
Summary
A flaw was found in KubeVirt's migration proxy. When spec.configuration.migrations.disableTLS is set to true on the KubeVirt custom resource, the target virt-handler binds a plain TCP listener on all interfaces (0.0.0.0/::) on a random port with no authentication, peer allow-list, or handshake token. This listener proxies directly into the target virt-launcher's virtqemud control socket. An attacker with a running pod on the cluster network can connect to this listener and issue unfiltered libvirt RPC commands against another tenant's virtual machine, including reading VM memory and configuration, modifying VM state via QMP, or destroying the VM. The bind address is unconditionally 0.0.0.0 — configuring a dedicated migration network via migrations.network only changes the advertised migration IP, not the listener bind address, so the port remains reachable on the pod network even when a dedicated migration network is configured. The API documentation describes disableTLS as removing "the additional layer of live migration encryption" without disclosing that it also removes all mutual authentication.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-306 - Missing Authentication for Critical Function
Assigner
References
URL Tags
https://access.redhat.com/security/cve/CVE-2026-13325 vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2493378 issue-trackingx_refsource_REDHAT
Impacted products
Vendor Product Version
Red Hat Red Hat OpenShift Virtualization 4     cpe:/a:redhat:container_native_virtualization:4
Create a notification for this product.
Date Public
2026-06-26 10:17
Credits
This issue was discovered by Huzaifa Sidhpurwala (Red Hat).
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

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