CVE-2026-94627
CVE-2026-94627: 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-2026-94627] Denial of Service via GPU memory exhaustion
CVE-2026-94627Source published Source updated
Denial of Service via GPU memory exhaustion. Red Hat rates this important (CVSS 7.5). Weakness: CWE-772. 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
- Avoid using the Mooncake KV transfer connector in disaggregated prefill and decode topologies. Deploy inference workloads in standard standalone mode where prefill and decode are handled within the same instance. Additionally, restrict network access to the model serving endpoints to authenticated and authorized clients using Red Hat OpenShift NetworkPolicies or API gateway rate limiting. Caveats: Running without disaggregated prefill and decode execution can reduce throughput under heavy concurrent traffic. Network filtering requires callers to be within trusted cluster namespaces or behind authenticated proxies. Warning: Modifying serving runtime deployment manifests or restarting inference services will cause temporary service interruption while pods are recreated.
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