vLLM: Artifact Pin Decay in vLLM allows pinned deployments to load unpinned code, weights, and processors
vllm-project · vllm
6.5MediumCVSS 3.1
Recommended action
Scheduled
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
Patch available
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-2026-47155 · CSAF 2.0 · revision 3 · finalRed Hat Product Securityvllm: vLLM: Supply-chain integrity issue due to inconsistent revision pinning controls
9 known affected
The vendor explicitly identifies these products as affected by this CVE.
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-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, an inference and serving engine for large language models (LLMs). The revision pinning controls in vLLM do not consistently apply to all artifacts loaded for a model. This allows a deployment configured with specific revisions to still load dynamic code or other configuration files from an unpinned or default revision. This issue can lead to a supply-chain integrity compromise, where operators may unknowingly serve models with unreviewed or unintended behavior.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2026:59138
Optional official sources
National CERT insights ?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.
Select the national-authority views to include. The exact source language is shown on each matched advisory. Your choice is remembered on this device and encoded in the shareable URL.
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-2026-38407
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 actionScheduled
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
Patch available
01
What, why and how
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0.
What
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0.
Why
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.
How
An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
What
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0.
Why
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.
How
An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
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.None recorded
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
Likely attack path
a network path → Insufficient Verification of Data Authenticity → cause the confidentiality, integrity or availability impact described by the vendor
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
None
Attack complexity
High: exploitation depends on specific conditions
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-345: Insufficient Verification of Data Authenticity. The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.
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:H/PR:N/UI:N/S:U/C:L/I:H/A:N
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.ACHighAttack complexity: Successful exploitation depends on specific conditions outside the attacker's direct control.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.CLowConfidentiality impact: A successful attack can cause a limited loss.IHighIntegrity impact: A successful attack can cause a major loss.ANoneAvailability impact: No direct loss is represented by this metric.
Post-exploitation / living off the land
No specific living-off-the-land technique is confirmed in the structured sources. Monitor normal administration tools for activity inconsistent with the affected service's baseline.
NetworkUnauthenticatedCWE-345
A
Official authority intelligence
Only matched European and national findings are included. Language selectors and unavailable sources are omitted.
ENISA EUVD · EUVD-2026-38407Official EUVD mapping
0 linked advisory records.
Official EUVD recordBSI · German · WID-SEC-W-2026-1889vllm: Schwachstelle ermöglicht Manipulation von Daten
Ein entfernter, anonymer Angreifer kann eine Schwachstelle in vllm ausnutzen, um Dateien zu manipulieren.
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
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-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@sha256:201b9f3ebdbaa9979d9f40276e3aa5cc78f20d08ed3abae90954caff30ae9d8b_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:333f2a87d0dd8bc399eb7c1d9c7033e2c90c25c1b1b44a9941f16437b33ddccb_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:dbce78adf45d71b4348c55a3aa1dd9327ea7ec726cf0e5487246de180ecf8a3e_amd64 as a component of Red Hat AI Inference Server 3.3; 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/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/disk-image-cuda-rhel9@sha256:c89a11f9d1f3ec913be22a418b9d7667f6cda2aa7dd0556c796c90c1fc785096_amd64 as a component of Red Hat Enterprise Linux AI 3.3
Action
For more information visit https://access.redhat.com/errata/RHSA-2026:59138
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 22 Jun 2026 · Last source change 23 Jun 2026, 12:35 UTC · CWE-345 · Insufficient Verification of Data Authenticity
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-2026-38407
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.
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-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@sha256:201b9f3ebdbaa9979d9f40276e3aa5cc78f20d08ed3abae90954caff30ae9d8b_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:333f2a87d0dd8bc399eb7c1d9c7033e2c90c25c1b1b44a9941f16437b33ddccb_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:dbce78adf45d71b4348c55a3aa1dd9327ea7ec726cf0e5487246de180ecf8a3e_amd64 as a component of Red Hat AI Inference Server 3.3; 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/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 as a component of Red Hat Enterprise Linux AI 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-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@sha256:201b9f3ebdbaa9979d9f40276e3aa5cc78f20d08ed3abae90954caff30ae9d8b_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:333f2a87d0dd8bc399eb7c1d9c7033e2c90c25c1b1b44a9941f16437b33ddccb_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:dbce78adf45d71b4348c55a3aa1dd9327ea7ec726cf0e5487246de180ecf8a3e_amd64 as a component of Red Hat AI Inference Server 3.3; 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/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/disk-image-cuda-rhel9@sha256:c89a11f9d1f3ec913be22a418b9d7667f6cda2aa7dd0556c796c90c1fc785096_amd64 as a component of Red Hat Enterprise Linux AI 3.3
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@sha256:201b9f3ebdbaa9979d9f40276e3aa5cc78f20d08ed3abae90954caff30ae9d8b_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:333f2a87d0dd8bc399eb7c1d9c7033e2c90c25c1b1b44a9941f16437b33ddccb_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:dbce78adf45d71b4348c55a3aa1dd9327ea7ec726cf0e5487246de180ecf8a3e_amd64 as a component of Red Hat AI Inference Server 3.3; 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-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@sha256:201b9f3ebdbaa9979d9f40276e3aa5cc78f20d08ed3abae90954caff30ae9d8b_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:333f2a87d0dd8bc399eb7c1d9c7033e2c90c25c1b1b44a9941f16437b33ddccb_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:dbce78adf45d71b4348c55a3aa1dd9327ea7ec726cf0e5487246de180ecf8a3e_amd64 as a component of Red Hat AI Inference Server 3.3; 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/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 as a component of Red Hat Enterprise Linux AI 3.3; registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 as a component of Red Hat Enterprise Linux AI 3.3
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-spyre-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-spyre-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@sha256:201b9f3ebdbaa9979d9f40276e3aa5cc78f20d08ed3abae90954caff30ae9d8b_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:333f2a87d0dd8bc399eb7c1d9c7033e2c90c25c1b1b44a9941f16437b33ddccb_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:dbce78adf45d71b4348c55a3aa1dd9327ea7ec726cf0e5487246de180ecf8a3e_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@sha256:201b9f3ebdbaa9979d9f40276e3aa5cc78f20d08ed3abae90954caff30ae9d8b_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:333f2a87d0dd8bc399eb7c1d9c7033e2c90c25c1b1b44a9941f16437b33ddccb_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:dbce78adf45d71b4348c55a3aa1dd9327ea7ec726cf0e5487246de180ecf8a3e_amd64 as a component of Red Hat AI Inference Server 3.3; 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
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.
CVE-2026-47155: vLLM: Artifact Pin Decay in vLLM allows pinned deployments to load unpinned code, weights, and processors | BlackTree
