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Full vulnerability report · 2026
CVE-2026-71281High confidence

peft Unsafe Deserialization via torch.load() Without weights_only in LoRA-GA and CorDA Modules

huggingface · peft

8.8HighCVSS 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.
  • EPSS is 0.50% 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 huggingface peft 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.

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-2026-71281 · CSAF 2.0 · revision 3 · finalRed Hat Product Securitypeft: peft: Arbitrary Code Execution via Unsafe Deserialization in LoRA-GA and CorDA Modules
20 known affected

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

  • lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core
  • rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server
  • rhelai3/bootc-azure-rocm-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
  • rhai-early-access/docling-serve-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
  • rhoai/odh-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
  • rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
  • rhoai/odh-kserve-autogluon-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
  • rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
  • rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
  • rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
Summary
A flaw was found in peft. The LoRA-GA and CorDA initialization modules within Hugging Face peft improperly call `torch.load()` without the `weights_only=True` parameter. This oversight allows for full pickle deserialization when loading a malicious cache or covariance file. A remote attacker could exploit this by tricking a user into loading a specially crafted file, leading to arbitrary code execution on the affected system.
Remediation
For Red Hat OpenShift AI 2.25.11 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/
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-2026-53366

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

Hugging Face peft's LoRA-GA and CorDA initialization modules (src/peft/tuners/lora/corda.py lines ~102 and ~163, and src/peft/tuners/lora/loraga.py line ~101) call torch.load on config-specified cache/covariance files without weights_only=True, bypassing peft's own safe-loading wrapper used elsewhere in the codebase.

What

Hugging Face peft's LoRA-GA and CorDA initialization modules (src/peft/tuners/lora/corda.py lines ~102 and ~163, and src/peft/tuners/lora/loraga.py line ~101) call torch.load on config-specified cache/covariance files without weights_only=True, bypassing peft's own safe-loading wrapper used elsewhere in the codebase.

Why

Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.

How

An attacker operating through a network path may attempt exploitation without authentication after a user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.

What

Hugging Face peft's LoRA-GA and CorDA initialization modules (src/peft/tuners/lora/corda.py lines ~102 and ~163, and src/peft/tuners/lora/loraga.py line ~101) call torch.load on config-specified cache/covariance files without weights_only=True, bypassing peft's own safe-loading wrapper used elsewhere in the codebase.

Why

Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.

How

An attacker operating through a network path may attempt exploitation without authentication after a 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 → Deserialization of Untrusted Data → cause the confidentiality, integrity or availability impact described by the vendor
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
Required interaction required
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-502 ↗

CWE-502: Deserialization of Untrusted Data. The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

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:R/S:U/C:H/I:H/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.UIRequiredUser interaction: Another user must perform an action for exploitation to succeed.SUnchangedScope: The security impact remains within the vulnerable component's authority.CHighConfidentiality impact: A successful attack can cause a major loss.IHighIntegrity impact: A successful attack can cause a major loss.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.
NetworkUnauthenticatedCWE-502
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-20260812Security Bulletin 12 Aug 2026

The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 12 Aug 2026, published on 12 August 2026. Open the linked bulletin for the product, severity and reference information published in that issue.

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 Red Hat OpenShift AI 2.25.11 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/
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 5 Aug 2026 · Last source change 10 Aug 2026, 11:47 UTC · CWE-502 · Deserialization of Untrusted Data

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-2026-53366
Product sourceVendor CSAF · Red Hat Product Security
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD not scheduled

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
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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; rhai-early-access/docling-serve-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-autogluon-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhoai/odh-training-cuda121-torch24-py311-rhel9@sha256:06abeb84a26fc1663719018f401a3a167d48acb3227fae9bbb170fe25f1eda78_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-cuda124-torch25-py311-rhel9@sha256:26414fefa6921f9bf016b2788510bafc712409a78dd5889bea37e45d02f7cc3a_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-rocm62-torch24-py311-rhel9@sha256:4beda745e430a38c620fcca63b72eecef837ef95f25fde243638d71e81dedd92_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-rocm62-torch25-py311-rhel9@sha256:af000ad4a4691fe67f552cd5155bd851823a1bb362796b16e4c4f0e1442f6895_amd64 as a component of Red Hat OpenShift AI 2.25
    After
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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; rhai-early-access/docling-serve-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-autogluon-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhoai/odh-training-cuda121-torch24-py311-rhel9@sha256:06abeb84a26fc1663719018f401a3a167d48acb3227fae9bbb170fe25f1eda78_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-cuda124-torch25-py311-rhel9@sha256:26414fefa6921f9bf016b2788510bafc712409a78dd5889bea37e45d02f7cc3a_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-rocm62-torch24-py311-rhel9@sha256:4beda745e430a38c620fcca63b72eecef837ef95f25fde243638d71e81dedd92_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-rocm62-torch25-py311-rhel9@sha256:af000ad4a4691fe67f552cd5155bd851823a1bb362796b16e4c4f0e1442f6895_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-cuda128-torch28-py312-rhel9@sha256:7502812aa9095351df4ba4e6971240155eeedbccf7b17aa51004506234b2b9db_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-training-cuda128-torch29-py312-rhel9@sha256:21abf732af406be23dd49b60e86198751a9d11ab0ef234f6e63d96d588916563_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-training-rocm64-torch28-py312-rhel9@sha256:d447c127487dfab7747d138b32e95c75cdd1b49479bfcd3dc1d6d13c1f3a2c65_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-training-rocm64-torch29-py312-rhel9@sha256:8642acebbc423a15bda74f25400277b057b8a0985e3379f056db59915f80fcfb_amd64 as a component of Red Hat OpenShift AI 3.3
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    ≤ 0.19.1 · Fixed: No fixed version is explicitly recorded in the structured CVE data.
    After
    ≤ 0.19.1 · Fixed: For Red Hat OpenShift AI 2.25.11 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/
    Red Hat Product Security ↗
  3. Remediation statusRemediation status changed from Awaiting fix to Patch available.
    Before
    Awaiting fix
    After
    Patch available
    Red Hat Product Security ↗
  4. Vendor guidanceAuthoritative vendor guidance changed from remediation: access.redhat.com/CVE-2026-71281 to remediation: access.redhat.com/CVE-2026-71281.
    Before
    remediation: access.redhat.com/CVE-2026-71281
    After
    remediation: access.redhat.com/CVE-2026-71281
    Red Hat Product Security ↗
  5. Remediation statusRemediation status changed from Mitigation available to Patch available.
    Before
    Mitigation available
    After
    Patch available
    Red Hat Product Security ↗
  6. Affected versionsThe structured affected or fixed version information changed.
    Before
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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; rhai-early-access/docling-serve-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-autogluon-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda121-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda124-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
    After
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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; rhai-early-access/docling-serve-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-autogluon-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · Fixed: registry.redhat.io/rhoai/odh-training-cuda121-torch24-py311-rhel9@sha256:06abeb84a26fc1663719018f401a3a167d48acb3227fae9bbb170fe25f1eda78_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-cuda124-torch25-py311-rhel9@sha256:26414fefa6921f9bf016b2788510bafc712409a78dd5889bea37e45d02f7cc3a_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-rocm62-torch24-py311-rhel9@sha256:4beda745e430a38c620fcca63b72eecef837ef95f25fde243638d71e81dedd92_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-training-rocm62-torch25-py311-rhel9@sha256:af000ad4a4691fe67f552cd5155bd851823a1bb362796b16e4c4f0e1442f6895_amd64 as a component of Red Hat OpenShift AI 2.25
    Red Hat Product Security ↗
  7. Affected versionsThe structured affected or fixed version information changed.
    Before
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda121-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda124-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
    After
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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; rhai-early-access/docling-serve-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-autogluon-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda121-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda124-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
    Red Hat Product Security ↗
  8. Affected versionsThe structured affected or fixed version information changed.
    Before
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-tgis-serving-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda121-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda124-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
    After
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai3/bootc-azure-rocm-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-automl-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-ta-lmes-job-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-rocm64-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda121-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda124-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-cuda128-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch24-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm62-torch25-py311-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch28-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-training-rocm64-torch29-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
    Red Hat Product Security ↗
Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
CVE published
Fixed release recorded from official guidance
Fixed release recorded from official guidance
ENISA EUVD · EUVD-2026-53366↗Red Hat Product Security security advisory↗CVE authority or vendor 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-2026-71281 · cve.blacktree.nl