CVE-2026-94622
CVE-2026-94622: 1 tracked advisory record across Red Hat. Compare vendor sources and published fix guidance.
Compare the source-linked records below. Ratings and product/version details belong to each advisory; they are not a single CVE-wide score or proof that every listed product is affected. How VulniPulse collects and checks evidence.
Vendor advisory comparison
Red Hat
1 advisory- Advisory severityHigh7.5
High [CVE-2026-94622] Denial of Service via Incomplete NIXL KV Transfer Metadata
CVE-2026-94622Source published Source updated
Denial of Service via Incomplete NIXL KV Transfer Metadata. Red Hat rates this important (CVSS 7.5). Weakness: CWE-248. Affected products named by the advisory: Red Hat AI Inference Server; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI).
- Related products — impact not confirmed
- Red Hat AI Inference Server
- Red Hat Enterprise Linux AI (RHEL AI) 3
- Red Hat OpenShift AI (RHOAI)
- Source-reported affected versions
- 0.29.0
- Source-reported fixed versions
- No fixed-version detail extracted. This does not mean no fix exists.
- Mitigation guidance
- To reduce exposure to this vulnerability, apply the following operational controls: 1. Disable disaggregated KV transfer: Deploy vLLM instances in a standalone configuration or run unified prefill and decode workers rather than disaggregated roles utilizing the NIXL KV cache transfer connector. 2. Restrict network exposure: Apply OpenShift NetworkPolicies or firewall rules to limit access to vLLM inference ports, permitting traffic only from trusted API gateways or internal clients. Caveats: Disabling disaggregated prefill/decode operation prevents multi-node distributed cache sharing and may reduce inference performance for long-context requests. Network restrictions will prevent access from non-whitelisted IP addresses. Warning: Altering the deployment architecture requires restarting vLLM pods or containers, which will cause a temporary service disruption during workload restart.
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