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Full vulnerability report · 2025
CVE-2025-48956High confidence

vLLM API endpoints vulnerable to Denial of Service Attacks

vllm-project · vllm

Official source article: GitHub GHSA-RXC4-3W6R-4V47 ↗. Check the applicable product and release in the original source.

7.5HighCVSS 3.1
Recommended action
Within 7 days

High technical severity; prioritise exposed affected systems while verifying vendor guidance.

Patch available
R
Operational reassessment

Published severity in operational context

Open reassessment dashboard →
Published severityHighOperational priority:High, unchanged from published severity.unchanged

Evidence used

  • No CISA KEV confirmation is currently recorded.
  • The selected CVSS metric records a network-reachable, unauthenticated path with no user interaction.
  • EPSS is 0.56% 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.
  • Monitor vendor guidance and exploitation sources for a material change.

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 30 daysRemediation target: Within 180 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 0.1.0; fixed 0.10.1.10.10.1.1OSV record ↗aggregator derived · 10 Sep 2026
pipvllm>= 0.1.0, < 0.10.1.10.10.1.1GitHub 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-2025-48956 · CSAF 2.0 · revision 3 · finalRed Hat Product Securityvllm: HTTP header size limit not enforced allows Denial of Service from Unauthenticated requests
54 known affected

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

  • rhaiis-preview/vllm-cuda-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-rocm-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
  • rhelai1/disk-image-nvidia-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI)
  • rhelai1/docling-serve-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI)
  • rhelai1/gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI)
  • rhelai1/gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI)
  • rhelai1/granite-3.1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI)
  • rhelai1/granite-3.1-8b-lab-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI)
  • rhelai1/granite-3.1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI)
Summary
A flaw was found in vLLM. A denial of service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large X-Forwarded-For header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2025:19427
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-2025-25446

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; prioritise exposed affected systems while verifying vendor guidance.

Patch available
01

What, why and how

vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. This vulnerability is fixed in 0.10.1.1.

What

vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. This vulnerability is fixed in 0.10.1.1.

Why

The product does not properly control the allocation and maintenance of a limited resource.

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 an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. This vulnerability is fixed in 0.10.1.1.

Why

The product does not properly control the allocation and maintenance of a limited resource.

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.
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 → Uncontrolled Resource Consumption → 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-400 ↗

CWE-400: Uncontrolled Resource Consumption. The product does not properly control the allocation and maintenance of a limited resource.

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
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.
NetworkUnauthenticatedDenial of serviceCWE-400
A

Official authority intelligence

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

Cyber Security Agency of Singapore · English · CSA-SB-20250828Security Bulletin 27 Aug 2025

The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 27 Aug 2025, published on 28 August 2025. Open the linked bulletin for the product, severity and reference information published in that issue.

Official advisory ↗
CERT-FR · French · CERTFR-2025-AVI-1057Multiples vulnérabilités dans les produits VMware

ecord?id=CVE-2025-32434 Référence CVE CVE-2025-32444 https://www.cve.org/CVERecord?id=CVE-2025-32444 Référence CVE CVE-2025-3576 https://www.cve.org/CVERecord?id=CVE-2025-3576 Référence CVE CVE-2025-41248 https://www.cve.org/CVERecord?id=CVE-2025-41248 Référence CVE CVE-2025-43859 https://www.cve.org/CVERecord?id=CVE-2025-43859 Référence CVE CVE-2025-4516 https://www.cve.org/CVERecord?id=CVE-2025-4516 Référence CVE CVE-2025-46570 https://www.cve.org/CVERecord?id=CVE-2025-46570 Référence CVE CVE-2025-47277 https://www.cve.org/CVERecord?id=CVE-2025-47277 Référence CVE CVE-2025-48887 https://www.cve.org/CVERecord?id=CVE-2025-48887 Référence CVE CVE-2025-48956 https://www.cve.org/CVERecord?id=CVE-2025-48956 Référence CVE CVE-2025-4947 https://www.cve.org/CVERecord?id=CVE-2025-4947 Référence CVE CVE-2025-49794 https://www.cve.org/CVERecord?id=CVE-2025-49794 Référence CVE CVE-2025-49795 https://www.cve.org/CVERecord?id=CVE-2025-49795 Référence CVE CVE-2025-49796 https://www.cve.org/CVERecord?id=CVE-2025-49796 Référence CVE CVE-2025-50182 https://www.cve.org/CVERecord?id=CVE-2025-50182 Référence CVE CVE-2025-5025 https://www.cve.org/CVERecord?id=CVE-2025-5025 Référence CVE CVE-2025-52099 https://www.cve.org/CVERecord?id=CVE-2025-52099 Référence CVE CVE-2025-53643 https://www.cve.org/CVERecord?id=CVE-

Official advisory ↗
JVN iPedia · Japanese · JVNDB-2025-015831vLLM におけるリソースの枯渇に関する脆弱性

vLLM には、リソースの枯渇に関する脆弱性が存在します。

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-2025:19427
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 21 Aug 2025 · Last source change 21 Aug 2025, 15:02 UTC · CWE-400 · Uncontrolled Resource Consumption

CVE recordCVE.org · 5.1
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-2025-25446
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
    >= 0.1.0, < 0.10.1.1 · Fixed: An authoritative update reference is available, but the fixed version is not recorded in the structured CVE fields. Check the linked vendor advisory for the applicable release.
    After
    >= 0.1.0, < 0.10.1.1 · Fixed: For more information visit https://access.redhat.com/errata/RHSA-2025:19427
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    rhaiis-preview/vllm-cuda-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-rocm-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; rhelai1/disk-image-nvidia-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/docling-serve-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-redhat-lab as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-starter as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-base as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-instruct as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v2-preview as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-layout as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-tableformer as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); and 24 more · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:c029b66a3354ee6fd186a1f05aff31b5834e611b9d5b326b65b16829d6b98d1f_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:385028a96717418982de197f8f0a9052edf12f80a50bd8ab53ca72203a4ba5d8_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:f77167ea53b46b91631679ed84aab2373ff56dc62cba946296be212443bc2a99_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:427596ae2591a30a0218b7cfdd858ccad96178ddc2618cdf0a6e4e9af36685bf_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:a83229f005c78e271c774f3eda26421fedbc4b8cf1ac3fe94234899c6d677124_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:601064840ac29ea7d4a977efb506df226a2931d5079ec9f432bdf60095bf7c2e_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:0efbdee5f2ec93477b5aac5dd4c1dd9b31fe96e5e7c7dd701738ceaa86b2f2eb_arm64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:dd412fc0dde3dee492839c28f8ed003bb17fe5fe1be375031b24c84bb36fb8cd_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:03f22e965af16fe84aed7d30e7b8db00dead11d9fd4b11e3c9abb2e68dd910f1_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:cf0ec4ad1520ff2ce83420846830286e036f310f880cf8a533f0966c35ebd32f_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a17f53b6c19150fce3e6d456fde71a74bdab5da5eeb44bec7791084c3471a98e_arm64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a7e2df4276aaba0d23430c7c3314e05b005fe5628d588bc1f4f979a35571fa5c_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d4cfcf8c93552c780a7f7756d307953a4b8195eaf5a2cea198db1eb40a577ed2_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d6546244ecc2911078bed1d0924a585579257438644323ee97fcf2528835afba_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:1f2995ee9de8b0dd7e45fc26dcef5f5a7a2e38b2e564ab3e6460c4af76e22e82_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:599c13b4ecdaf8cfe00bef9270d5ef4286c4f5a238bacf801f901973b152c694_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:8a8b9aa606fadb92796dc1310c4604c669570da12735fe73f73b65386c439556_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:fe135e808533f7267267fe2f6bfcba0f28d2184991d82ccd1b85eab6b815c3c9_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:67dee2abb1b3db82eeafba21914fdb5904ce09b95f2888dea485a5a7df4d58e6_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:861d9c9ff292c8baf9f541a384ab323943c1d0aec29349dde7ac957d2dde7ee7_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:9c240f185478ac30dd82c9b55c0a882a45744c08a6f698da754872b0eeb9103e_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:afb0fb167b488bb53706e2979bd58b4ee88f2624642b76dccc3a7e3f7ab0aa7e_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:25306815d697653646bda1a84d7efc28403e1c62b3bb8a144319854ad527771d_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:4fb1f0d669a402cfeb3b7c241a1a095a245c004d553807eb1760bda41c697d9e_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:a0e6b5b5133598ee3aa52b2047889105269d90467dea0541885ce3ee07e90235_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:b54a836af6a4837a3bbb95e2575ef5d33a380af9e18fcda29b005d654c1149a1_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:926c814e6bd2362ace77e131690edec47d7cc4f5a7317a3f882cb1b9f38e330b_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b342f7d470688180c3f91b9c8652aaee8250a036a0c8f550d31ea5816d2c8cab_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b67292b8828b41361925def921ba2713b4d7eaa83b2088e0ad21e44ba52eb228_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:bb3d89ff8b3e2f5072f5a645c8e3d79ee1d1a618f7bab6b39f7f1d12a33d44f0_arm64 as a component of Red Hat OpenShift AI 3.3; and 3 more
    After
    rhaiis-preview/vllm-cuda-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-rocm-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; rhelai1/disk-image-nvidia-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/docling-serve-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-redhat-lab as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-starter as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-base as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-instruct as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v2-preview as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-layout as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-tableformer as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); and 24 more · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:c029b66a3354ee6fd186a1f05aff31b5834e611b9d5b326b65b16829d6b98d1f_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:385028a96717418982de197f8f0a9052edf12f80a50bd8ab53ca72203a4ba5d8_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:f77167ea53b46b91631679ed84aab2373ff56dc62cba946296be212443bc2a99_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:427596ae2591a30a0218b7cfdd858ccad96178ddc2618cdf0a6e4e9af36685bf_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:a83229f005c78e271c774f3eda26421fedbc4b8cf1ac3fe94234899c6d677124_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:601064840ac29ea7d4a977efb506df226a2931d5079ec9f432bdf60095bf7c2e_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:0efbdee5f2ec93477b5aac5dd4c1dd9b31fe96e5e7c7dd701738ceaa86b2f2eb_arm64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:dd412fc0dde3dee492839c28f8ed003bb17fe5fe1be375031b24c84bb36fb8cd_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:03f22e965af16fe84aed7d30e7b8db00dead11d9fd4b11e3c9abb2e68dd910f1_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:cf0ec4ad1520ff2ce83420846830286e036f310f880cf8a533f0966c35ebd32f_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a17f53b6c19150fce3e6d456fde71a74bdab5da5eeb44bec7791084c3471a98e_arm64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a7e2df4276aaba0d23430c7c3314e05b005fe5628d588bc1f4f979a35571fa5c_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d4cfcf8c93552c780a7f7756d307953a4b8195eaf5a2cea198db1eb40a577ed2_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d6546244ecc2911078bed1d0924a585579257438644323ee97fcf2528835afba_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:1f2995ee9de8b0dd7e45fc26dcef5f5a7a2e38b2e564ab3e6460c4af76e22e82_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:599c13b4ecdaf8cfe00bef9270d5ef4286c4f5a238bacf801f901973b152c694_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:8a8b9aa606fadb92796dc1310c4604c669570da12735fe73f73b65386c439556_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:fe135e808533f7267267fe2f6bfcba0f28d2184991d82ccd1b85eab6b815c3c9_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:67dee2abb1b3db82eeafba21914fdb5904ce09b95f2888dea485a5a7df4d58e6_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:861d9c9ff292c8baf9f541a384ab323943c1d0aec29349dde7ac957d2dde7ee7_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:9c240f185478ac30dd82c9b55c0a882a45744c08a6f698da754872b0eeb9103e_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:afb0fb167b488bb53706e2979bd58b4ee88f2624642b76dccc3a7e3f7ab0aa7e_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:25306815d697653646bda1a84d7efc28403e1c62b3bb8a144319854ad527771d_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:4fb1f0d669a402cfeb3b7c241a1a095a245c004d553807eb1760bda41c697d9e_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:a0e6b5b5133598ee3aa52b2047889105269d90467dea0541885ce3ee07e90235_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:b54a836af6a4837a3bbb95e2575ef5d33a380af9e18fcda29b005d654c1149a1_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:926c814e6bd2362ace77e131690edec47d7cc4f5a7317a3f882cb1b9f38e330b_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b342f7d470688180c3f91b9c8652aaee8250a036a0c8f550d31ea5816d2c8cab_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b67292b8828b41361925def921ba2713b4d7eaa83b2088e0ad21e44ba52eb228_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:bb3d89ff8b3e2f5072f5a645c8e3d79ee1d1a618f7bab6b39f7f1d12a33d44f0_arm64 as a component of Red Hat OpenShift AI 3.3; and 3 more
    Red Hat Product Security ↗
  3. Affected versionsThe structured affected or fixed version information changed.
    Before
    rhaiis-preview/vllm-cuda-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-rocm-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; rhelai1/disk-image-nvidia-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/docling-serve-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-redhat-lab as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-starter as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-base as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-instruct as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v2-preview as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-layout as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-tableformer as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); and 24 more · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:c029b66a3354ee6fd186a1f05aff31b5834e611b9d5b326b65b16829d6b98d1f_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:385028a96717418982de197f8f0a9052edf12f80a50bd8ab53ca72203a4ba5d8_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:f77167ea53b46b91631679ed84aab2373ff56dc62cba946296be212443bc2a99_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:427596ae2591a30a0218b7cfdd858ccad96178ddc2618cdf0a6e4e9af36685bf_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:a83229f005c78e271c774f3eda26421fedbc4b8cf1ac3fe94234899c6d677124_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:601064840ac29ea7d4a977efb506df226a2931d5079ec9f432bdf60095bf7c2e_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:0efbdee5f2ec93477b5aac5dd4c1dd9b31fe96e5e7c7dd701738ceaa86b2f2eb_arm64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:dd412fc0dde3dee492839c28f8ed003bb17fe5fe1be375031b24c84bb36fb8cd_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:03f22e965af16fe84aed7d30e7b8db00dead11d9fd4b11e3c9abb2e68dd910f1_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:cf0ec4ad1520ff2ce83420846830286e036f310f880cf8a533f0966c35ebd32f_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a17f53b6c19150fce3e6d456fde71a74bdab5da5eeb44bec7791084c3471a98e_arm64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a7e2df4276aaba0d23430c7c3314e05b005fe5628d588bc1f4f979a35571fa5c_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d4cfcf8c93552c780a7f7756d307953a4b8195eaf5a2cea198db1eb40a577ed2_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d6546244ecc2911078bed1d0924a585579257438644323ee97fcf2528835afba_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:1f2995ee9de8b0dd7e45fc26dcef5f5a7a2e38b2e564ab3e6460c4af76e22e82_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:599c13b4ecdaf8cfe00bef9270d5ef4286c4f5a238bacf801f901973b152c694_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:8a8b9aa606fadb92796dc1310c4604c669570da12735fe73f73b65386c439556_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:fe135e808533f7267267fe2f6bfcba0f28d2184991d82ccd1b85eab6b815c3c9_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:67dee2abb1b3db82eeafba21914fdb5904ce09b95f2888dea485a5a7df4d58e6_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:861d9c9ff292c8baf9f541a384ab323943c1d0aec29349dde7ac957d2dde7ee7_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:9c240f185478ac30dd82c9b55c0a882a45744c08a6f698da754872b0eeb9103e_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:afb0fb167b488bb53706e2979bd58b4ee88f2624642b76dccc3a7e3f7ab0aa7e_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:25306815d697653646bda1a84d7efc28403e1c62b3bb8a144319854ad527771d_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:4fb1f0d669a402cfeb3b7c241a1a095a245c004d553807eb1760bda41c697d9e_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:a0e6b5b5133598ee3aa52b2047889105269d90467dea0541885ce3ee07e90235_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:b54a836af6a4837a3bbb95e2575ef5d33a380af9e18fcda29b005d654c1149a1_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:926c814e6bd2362ace77e131690edec47d7cc4f5a7317a3f882cb1b9f38e330b_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b342f7d470688180c3f91b9c8652aaee8250a036a0c8f550d31ea5816d2c8cab_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b67292b8828b41361925def921ba2713b4d7eaa83b2088e0ad21e44ba52eb228_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:bb3d89ff8b3e2f5072f5a645c8e3d79ee1d1a618f7bab6b39f7f1d12a33d44f0_arm64 as a component of Red Hat OpenShift AI 3.3; and 3 more
    After
    rhaiis-preview/vllm-cuda-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-rocm-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; rhelai1/disk-image-nvidia-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/docling-serve-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-lab-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-3.1-8b-starter-v2.1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-redhat-lab as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-7b-starter as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-base as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-code-instruct as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-lab-v2-preview as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/granite-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-layout as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-docling-tableformer as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v1 as a component of Red Hat Enterprise Linux AI (RHEL AI); and 24 more · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:c029b66a3354ee6fd186a1f05aff31b5834e611b9d5b326b65b16829d6b98d1f_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:385028a96717418982de197f8f0a9052edf12f80a50bd8ab53ca72203a4ba5d8_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:f77167ea53b46b91631679ed84aab2373ff56dc62cba946296be212443bc2a99_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:427596ae2591a30a0218b7cfdd858ccad96178ddc2618cdf0a6e4e9af36685bf_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:a83229f005c78e271c774f3eda26421fedbc4b8cf1ac3fe94234899c6d677124_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:601064840ac29ea7d4a977efb506df226a2931d5079ec9f432bdf60095bf7c2e_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:0efbdee5f2ec93477b5aac5dd4c1dd9b31fe96e5e7c7dd701738ceaa86b2f2eb_arm64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:dd412fc0dde3dee492839c28f8ed003bb17fe5fe1be375031b24c84bb36fb8cd_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:03f22e965af16fe84aed7d30e7b8db00dead11d9fd4b11e3c9abb2e68dd910f1_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:cf0ec4ad1520ff2ce83420846830286e036f310f880cf8a533f0966c35ebd32f_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a17f53b6c19150fce3e6d456fde71a74bdab5da5eeb44bec7791084c3471a98e_arm64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:a7e2df4276aaba0d23430c7c3314e05b005fe5628d588bc1f4f979a35571fa5c_amd64 as a component of Red Hat Enterprise Linux AI 1.5.2; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d4cfcf8c93552c780a7f7756d307953a4b8195eaf5a2cea198db1eb40a577ed2_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-vllm-cpu-rhel9@sha256:d6546244ecc2911078bed1d0924a585579257438644323ee97fcf2528835afba_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:1f2995ee9de8b0dd7e45fc26dcef5f5a7a2e38b2e564ab3e6460c4af76e22e82_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:599c13b4ecdaf8cfe00bef9270d5ef4286c4f5a238bacf801f901973b152c694_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:8a8b9aa606fadb92796dc1310c4604c669570da12735fe73f73b65386c439556_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-agent-rhel9@sha256:fe135e808533f7267267fe2f6bfcba0f28d2184991d82ccd1b85eab6b815c3c9_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:67dee2abb1b3db82eeafba21914fdb5904ce09b95f2888dea485a5a7df4d58e6_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:861d9c9ff292c8baf9f541a384ab323943c1d0aec29349dde7ac957d2dde7ee7_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:9c240f185478ac30dd82c9b55c0a882a45744c08a6f698da754872b0eeb9103e_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-controller-rhel9@sha256:afb0fb167b488bb53706e2979bd58b4ee88f2624642b76dccc3a7e3f7ab0aa7e_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:25306815d697653646bda1a84d7efc28403e1c62b3bb8a144319854ad527771d_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:4fb1f0d669a402cfeb3b7c241a1a095a245c004d553807eb1760bda41c697d9e_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:a0e6b5b5133598ee3aa52b2047889105269d90467dea0541885ce3ee07e90235_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-router-rhel9@sha256:b54a836af6a4837a3bbb95e2575ef5d33a380af9e18fcda29b005d654c1149a1_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:926c814e6bd2362ace77e131690edec47d7cc4f5a7317a3f882cb1b9f38e330b_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b342f7d470688180c3f91b9c8652aaee8250a036a0c8f550d31ea5816d2c8cab_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:b67292b8828b41361925def921ba2713b4d7eaa83b2088e0ad21e44ba52eb228_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:bb3d89ff8b3e2f5072f5a645c8e3d79ee1d1a618f7bab6b39f7f1d12a33d44f0_arm64 as a component of Red Hat OpenShift AI 3.3; and 3 more
    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
Fixed release recorded from official guidance
Fixed release recorded from official guidance
ENISA EUVD · EUVD-2025-25446↗Red Hat Product Security security advisory↗CVE authority or vendor reference · GitHub GHSA-RXC4-3W6R-4V47↗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-2025-48956 · cve.blacktree.nl