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Full vulnerability report · 2026
CVE-2026-54234High confidence

vLLM: Remote DoS in vLLM via Invalid Recovered Token Reinjection

vllm-project · vllm

Official source article: GitHub GHSA-8WR5-JM2H-8R4F ↗. Check the applicable product and release in the original source.

7.5HighCVSS 3.1
Recommended action
Within 7 days

High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.

Patch available
R
Operational reassessment

Published severity in operational context

Open reassessment dashboard →
Published severityHighOperational priority:Critical, raised one band.upgradedsince 7 Jul 2026

Evidence used

  • No CISA KEV confirmation is currently recorded.
  • A structured source references public exploit or proof-of-concept material.
  • The selected CVSS metric records a network-reachable, unauthenticated path with no user interaction.
  • EPSS is 0.62% for the current model date.

Compensating controls

  • Validate the affected product branch and deploy the verified fixed release.
  • Restrict the affected network interface to trusted sources where business-safe.
  • Increase monitoring for the attack path and post-exploitation behaviour described in the report.

Verification

  1. Confirm that the asset runs vllm-project vllm and falls inside the recorded affected range.
  2. Verify the installed build against the product-specific fixed version after deployment.
  3. Validate exposure, authentication requirements and compensating controls in the actual environment.
  4. Reopen this reassessment when CVSS, KEV, EPSS, exploit evidence or remediation changes.
Mitigation target: Within 3 daysRemediation target: Within 90 days

This automated reassessment organises public evidence. It does not know asset exposure, business impact or control effectiveness and does not replace CVSS or a human risk decision.

Open-source package ranges2 source-attributed ranges

These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.

Ecosystem and packageAffected rangeFirst fixed versionEvidence
PyPIvllmECOSYSTEM: introduced 0.17.1; fixed 0.24.00.24.0OSV record ↗aggregator derived · 10 Sep 2026
pipvllm>= 0.17.1, < 0.24.00.24.0GitHub advisory ↗upstream repository advisory · 17 Jul 2026
Direct vendor intelligence

Authoritative vendor CSAF and VEX advisories

Structured product status and remediation from the issuing vendor. Product-state explanations are always visible; large lists can be searched or downloaded.

1 current
CVE-2026-54234 · CSAF 2.0 · revision 3 · finalRed Hat Product Securityvllm: vLLM: Denial of Service via malformed speculative decoding workload
7 known affected

The vendor explicitly identifies these products as affected by this CVE.

  • rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server
  • rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server
  • rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server
  • rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3
  • rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
Summary
A flaw was found in vLLM, a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). A remote attacker can exploit this vulnerability by sending a specially crafted multi-request speculative decoding workload through public gRPC Generate and Abort endpoints. This malformed workload can cause the rejection sampler to produce an out-of-vocabulary token, which then crashes the engine worker. This leads to a service-wide Denial of Service (DoS) for all clients until the worker is restarted.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2026:61627
Optional official sources

National CERT insights
?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.

Choose official national sources for this report. Each advisory shows its original language. Your selection is remembered on this device and included in shared links.

Official European source

ENISA European Vulnerability Database

Official EUVD identifiers, advisory evidence and known-exploited context. Missing fields are not treated as evidence of low risk.

1 current
ENISA EUVD identifier

EUVD-2026-41921

No EUVD known-exploited evidence

ENISA has published the identifier mapping but no EUVD description has been stored yet.

EUVD state
Present in the current official mapping
Known exploitation
Not present in the current ENISA EUVD known-exploited dataset. This is not proof of no exploitation.
ENISA score
Not supplied in the stored EUVD record
Advisory evidence
No linked advisory details stored yet
Recommended actionWithin 7 days

High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.

Patch available
01

What, why and how

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then converted to negative one when the engine selects the next live token for a request and is written back into the drafter's input ids; that out-of-vocabulary value is later consumed by the model's embedding and attention path and crashes the engine worker with a GPU device-side assertion. The same triggering request sequence is reachable through the public gRPC Generate and Abort endpoints, so a remote client that can send generation requests can crash the shared engine worker, aborting concurrent requests and causing a service-wide denial of service for other clients of the deployment until the worker is restarted. This issue is fixed in version 0.24.0.

What

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then converted to negative one when the engine selects the next live token for a request and is written back into the drafter's input ids; that out-of-vocabulary value is later consumed by the model's embedding and attention path and crashes the engine worker with a GPU device-side assertion. The same triggering request sequence is reachable through the public gRPC Generate and Abort endpoints, so a remote client that can send generation requests can crash the shared engine worker, aborting concurrent requests and causing a service-wide denial of service for other clients of the deployment until the worker is restarted. This issue is fixed in version 0.24.0.

Why

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may disrupt the affected service.

What

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then converted to negative one when the engine selects the next live token for a request and is written back into the drafter's input ids; that out-of-vocabulary value is later consumed by the model's embedding and attention path and crashes the engine worker with a GPU device-side assertion. The same triggering request sequence is reachable through the public gRPC Generate and Abort endpoints, so a remote client that can send generation requests can crash the shared engine worker, aborting concurrent requests and causing a service-wide denial of service for other clients of the deployment until the worker is restarted. This issue is fixed in version 0.24.0.

Why

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may disrupt the affected service.

02

Exploit reality and attack path

CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.

Observed exploitation
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
No confirmed evidence

No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.

Public PoC / exploit material
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
Reference recorded

A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.

Likely attack path
a network path → Improper Input Validation → disrupt the affected service
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Unchanged: impact remains within the vulnerable component's security authority
Weakness
?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-20 ↗

CWE-20: Improper Input Validation. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

CVSS vector
?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Common Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.

AVNetworkAttack vector: The vulnerable component can be reached over a network.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.PRNonePrivileges required: The attacker does not need an account or existing privileges.UINoneUser interaction: No action by another user is required.SUnchangedScope: The security impact remains within the vulnerable component's authority.CNoneConfidentiality impact: No direct loss is represented by this metric.INoneIntegrity impact: No direct loss is represented by this metric.AHighAvailability impact: A successful attack can cause a major loss.
Post-exploitation / living off the land
Stolen credentials, tokens and legitimate administration functions may provide continued access without deploying a large custom toolset.
NetworkUnauthenticatedDenial of serviceCWE-20Public exploit reference
A

Official authority intelligence

Only matched European and national findings are included. Language selectors and unavailable sources are omitted.

BSI · German · WID-SEC-2026-2176vllm: Mehrere Schwachstellen ermöglichen Denial of Service

Ein Angreifer kann mehrere Schwachstellen in vllm ausnutzen, um einen Denial of Service Angriff durchzuführen.

Official advisory ↗
Cyber Security Agency of Singapore · English · CSA-SB-20260708Security Bulletin 8 July 2026 [PDF, 1MB]]

The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 8 July 2026 [PDF, 1MB]], published on 8 July 2026. Open the linked bulletin for the product, severity and reference information published in that issue.

Official advisory ↗
JVN iPedia · Japanese · JVNDB-2026-022836vLLMにおける複数の脆弱性

vLLMは、大規模言語モデル（LLM）向けの高スループットかつメモリ効率の良い推論およびサービングエンジンです。バージョン0.24.0以前では、フロントエンドで合法とされる複数リクエストによる推測的デコーディングのワークロードが原因で、リジェクションサンプラーがモデルの語彙サイズの境界値と等しい復元トークンを生成してしまうことがありました。この値は、エンジンがリクエストの次のライブトークンを選択する際に-1（負の値）に変換され、ドラフターの入力IDに書き戻されます。その語彙外の値は後にモデルの埋め込みおよびアテンション経路で使用され、GPUデバイス側のアサーションによりエンジンワーカーがクラッシュしてしまいます。同じトリガーとなるリクエストシーケンスは、公開されているgRPCのGenerateおよびAbortエンドポイントを通じても到達可能なため、生成リクエストを送信できるリモートクライアントが共有されているエンジンワーカーをクラッシュさせ、同時に実行されているリクエストを中断し、ワーカーが再起動されるまで他のクライアントに対するサービス全体のサービス拒否（DoS）状態を引き起こしてしまいます。この問題はバージョン0.24.0で修正されました。

Official advisory ↗
03

Patch and workaround

Operational remediation based on structured source evidence.

Status
?Patch availability is based on structured fixed-version fields and authoritative update references. If no fix is verified, check the vendor advisory before making a change.
Patch available
Affected
Fixed
Action
For more information visit https://access.redhat.com/errata/RHSA-2026:61627
Workaround
No verified workaround is recorded. If business-safe, reduce exposure to the affected interface and allow only trusted sources until authoritative guidance is available.
04

Evidence and provenance

Published 6 Jul 2026 · Last source change 7 Jul 2026, 14:13 UTC · CWE-20 · Improper Input Validation

CVE recordCVE.org · 5.2
CVSS sourceCNA
EPSS source
?The date BlackTree first stored a score for this CVE from the daily FIRST EPSS feed.
FIRST · tracked since 2026-08-14
European sourceENISA EUVD · EUVD-2026-41921
Product sourceVendor CSAF · Red Hat Product Security
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD enriched

Core structured fields are present and their contributing authorities are shown above.

Material change intelligence

What changed after publication

View recent updates ↗
  1. Affected versionsThe structured affected or fixed version information changed.
    Before
    rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:5da2be9bd0fa0c7344e8a0b84c0cb8f3a78a1c7fc5fc76db6a7daaa2d71324f9_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:81c5994dc20321f8bd3969099eade78ef127cbd79f2d0ccea101c773e4c7fa4d_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:0d22e2301ce26ef68effda5d3a4a20381ad0ea34d1240e159e245bd44c2e125b_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:94721a151f43ffdfe11b5551ac37cbcf5ff6b991345ca2fc300684cf0a740435_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:97f7af7da4505d0420c49719bed4b49855abb1fa3193d65e5f201d0d501eeee7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:e491c3b169ec77c37dbe0eb9c2b35dd976ca6e968f43b5d72ad5c4095f48d2ed_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:1a30359d6ca5d0891e403b9b0a23c0ae1ad6e30a2429b9b42e246b874fe8859a_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:4d9c1873e151f8c40f13a6b4c71b5f5aea5aca6e75d76a46ccb0784d48932bd7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:11ad6e13c41728944d933c7abe01d1d10ecb3f8e8b4f0da50ec53b7df6f036a8_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:340cecbac6b168cb0414f242832f153e6f3655052bfd98252f9e2d507509cabf_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:40c5ed966b693ab9b6f1e71455c04eb42c5c0010c356ab5526218ab3034bede2_s390x as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:6b855616de644893c5ee76cd6e496478762f941855f05e47bdac27aa259a7aae_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:8f3b2de1d5a8fdba70e937ff1ab95c0584cec32a4d58b1e636ea130a6461cea1_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:b600c4226c78042f1a7d596f8f567dd2d9a97b5b3bb9b008d994c6bfb12bd7f1_s390x as a component of Red Hat AI Inference Server 3.4
    After
    rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:5da2be9bd0fa0c7344e8a0b84c0cb8f3a78a1c7fc5fc76db6a7daaa2d71324f9_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:81c5994dc20321f8bd3969099eade78ef127cbd79f2d0ccea101c773e4c7fa4d_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:0d22e2301ce26ef68effda5d3a4a20381ad0ea34d1240e159e245bd44c2e125b_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:94721a151f43ffdfe11b5551ac37cbcf5ff6b991345ca2fc300684cf0a740435_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:97f7af7da4505d0420c49719bed4b49855abb1fa3193d65e5f201d0d501eeee7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:e491c3b169ec77c37dbe0eb9c2b35dd976ca6e968f43b5d72ad5c4095f48d2ed_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:1a30359d6ca5d0891e403b9b0a23c0ae1ad6e30a2429b9b42e246b874fe8859a_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:4d9c1873e151f8c40f13a6b4c71b5f5aea5aca6e75d76a46ccb0784d48932bd7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:11ad6e13c41728944d933c7abe01d1d10ecb3f8e8b4f0da50ec53b7df6f036a8_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:340cecbac6b168cb0414f242832f153e6f3655052bfd98252f9e2d507509cabf_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:40c5ed966b693ab9b6f1e71455c04eb42c5c0010c356ab5526218ab3034bede2_s390x as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:6b855616de644893c5ee76cd6e496478762f941855f05e47bdac27aa259a7aae_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:8f3b2de1d5a8fdba70e937ff1ab95c0584cec32a4d58b1e636ea130a6461cea1_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:b600c4226c78042f1a7d596f8f567dd2d9a97b5b3bb9b008d994c6bfb12bd7f1_s390x as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:06b1e9b7df858121b6f339a5e78de93307be96c191a1c3e6df50cfeffaf9df15_amd64 as a component of Red Hat Enterprise Linux AI 3.4; registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:698d9e34aaf479d0149ea75b841dacbe0117ba2e3718a7088ac98ea6b081792e_amd64 as a component of Red Hat Enterprise Linux AI 3.4; registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:87723c21f48eb371968e2d68346953f2a03a3cf643a967801b84696ee3e1f1e8_amd64 as a component of Red Hat Enterprise Linux AI 3.4; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:d6f218c203be6deafbe1b4915a577e9944d47821caff37250830a7606a4c87ce_arm64 as a component of Red Hat Enterprise Linux AI 3.4; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:e0fbb896811ab54d183e23612030072b946674824bad697bf2b3f68362651662_amd64 as a component of Red Hat Enterprise Linux AI 3.4; registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:c1a193fa047eedbbf52be0b1d0f5d52e3e572d144a871f7c9322a34ba5abd92f_amd64 as a component of Red Hat Enterprise Linux AI 3.4; registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:8fe5203e86917e5f829bd64b831cad31536d23a213b4bfe31e652577ad0faf2e_amd64 as a component of Red Hat Enterprise Linux AI 3.4; registry.redhat.io/rhelai3/disk-image-cuda-rhel9@sha256:9d807c5381e81734b6303669421b265aea1eca54a18ca577d453508ffde1770c_amd64 as a component of Red Hat Enterprise Linux AI 3.4
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:5da2be9bd0fa0c7344e8a0b84c0cb8f3a78a1c7fc5fc76db6a7daaa2d71324f9_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:94721a151f43ffdfe11b5551ac37cbcf5ff6b991345ca2fc300684cf0a740435_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:97f7af7da4505d0420c49719bed4b49855abb1fa3193d65e5f201d0d501eeee7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:4d9c1873e151f8c40f13a6b4c71b5f5aea5aca6e75d76a46ccb0784d48932bd7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:6b855616de644893c5ee76cd6e496478762f941855f05e47bdac27aa259a7aae_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:8f3b2de1d5a8fdba70e937ff1ab95c0584cec32a4d58b1e636ea130a6461cea1_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:b600c4226c78042f1a7d596f8f567dd2d9a97b5b3bb9b008d994c6bfb12bd7f1_s390x as a component of Red Hat AI Inference Server 3.4
    After
    rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:5da2be9bd0fa0c7344e8a0b84c0cb8f3a78a1c7fc5fc76db6a7daaa2d71324f9_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:81c5994dc20321f8bd3969099eade78ef127cbd79f2d0ccea101c773e4c7fa4d_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:0d22e2301ce26ef68effda5d3a4a20381ad0ea34d1240e159e245bd44c2e125b_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:94721a151f43ffdfe11b5551ac37cbcf5ff6b991345ca2fc300684cf0a740435_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:97f7af7da4505d0420c49719bed4b49855abb1fa3193d65e5f201d0d501eeee7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:e491c3b169ec77c37dbe0eb9c2b35dd976ca6e968f43b5d72ad5c4095f48d2ed_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:1a30359d6ca5d0891e403b9b0a23c0ae1ad6e30a2429b9b42e246b874fe8859a_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:4d9c1873e151f8c40f13a6b4c71b5f5aea5aca6e75d76a46ccb0784d48932bd7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:11ad6e13c41728944d933c7abe01d1d10ecb3f8e8b4f0da50ec53b7df6f036a8_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:340cecbac6b168cb0414f242832f153e6f3655052bfd98252f9e2d507509cabf_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:40c5ed966b693ab9b6f1e71455c04eb42c5c0010c356ab5526218ab3034bede2_s390x as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:6b855616de644893c5ee76cd6e496478762f941855f05e47bdac27aa259a7aae_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:8f3b2de1d5a8fdba70e937ff1ab95c0584cec32a4d58b1e636ea130a6461cea1_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:b600c4226c78042f1a7d596f8f567dd2d9a97b5b3bb9b008d994c6bfb12bd7f1_s390x as a component of Red Hat AI Inference Server 3.4
    Red Hat Product Security ↗
  3. Affected versionsThe structured affected or fixed version information changed.
    Before
    rhaii/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3
    After
    rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:5da2be9bd0fa0c7344e8a0b84c0cb8f3a78a1c7fc5fc76db6a7daaa2d71324f9_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:94721a151f43ffdfe11b5551ac37cbcf5ff6b991345ca2fc300684cf0a740435_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:97f7af7da4505d0420c49719bed4b49855abb1fa3193d65e5f201d0d501eeee7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:4d9c1873e151f8c40f13a6b4c71b5f5aea5aca6e75d76a46ccb0784d48932bd7_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:6b855616de644893c5ee76cd6e496478762f941855f05e47bdac27aa259a7aae_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:8f3b2de1d5a8fdba70e937ff1ab95c0584cec32a4d58b1e636ea130a6461cea1_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:b600c4226c78042f1a7d596f8f567dd2d9a97b5b3bb9b008d994c6bfb12bd7f1_s390x as a component of Red Hat AI Inference Server 3.4
    Red Hat Product Security ↗
  4. Vendor guidanceAuthoritative vendor guidance changed from remediation: access.redhat.com/CVE-2026-54234 to remediation: access.redhat.com/CVE-2026-54234.
    Before
    remediation: access.redhat.com/CVE-2026-54234
    After
    remediation: access.redhat.com/CVE-2026-54234
    Red Hat Product Security ↗
  5. Affected versionsThe structured affected or fixed version information changed.
    Before
    rhaii/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3
    After
    rhaii/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:590f1bb37f9c9abb51a6ff7f557b45f1dcfba2e4880de979290703c2e6de95be_s390x as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:e54618292d1e6f1c9c959a42160bad3a153ca7e050665739d3ddd9dbfda541f8_ppc64le as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:f3dfb688e524f44f071f20954e454a91013a9c48f8cc59a32f7f402bb61d8ed0_amd64 as a component of Red Hat AI Inference Server 3.3
    Red Hat Product Security ↗
Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
CVE published
Fixed release or patch reference recorded
ENISA EUVD · EUVD-2026-41921↗Vendor CSAF · Red Hat Product Security↗CISA Vulnrichment SSVC evidence↗Public exploit reference · GitHub GHSA-8WR5-JM2H-8R4F↗Patch or update reference↗Patch or update reference↗Official CVE record (CNA and ADP data)↗NVD record↗
Technical terms and abbreviations used in this report
CVE
Common Vulnerabilities and Exposures: the public identifier for one disclosed vulnerability.
CVSS
Common Vulnerability Scoring System: a technical severity framework; it is not patching priority by itself.
EPSS
Exploit Prediction Scoring System: FIRST's estimate of the probability that exploitation activity will be observed in the next 30 days; it is a forecast, not confirmation.
CWE
Common Weakness Enumeration: the standard category describing the underlying software or hardware weakness.
CNA
CVE Numbering Authority: an organisation authorised to assign and publish CVE records.
CISA ADP
Cybersecurity and Infrastructure Security Agency Authorized Data Publisher: structured enrichment added to a CVE record.
NVD
National Vulnerability Database: NIST's enrichment service for CVE records.
CERT / CSIRT
A computer security incident response team that publishes warnings or coordinates incident response.
PoC
Proof of concept: public material that demonstrates or helps reproduce exploitation.
CSAF
Common Security Advisory Framework: a machine-readable format for security advisories.
LoTL
Living off the land: abuse of legitimate tools or system functions during an attack.
Free version - for non-commercial use only.CVE-2026-54234 · cve.blacktree.nl