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Full vulnerability report · 2026
CVE-2026-59884High confidence

pyasn1 BER/CER/DER decoder denial of service via unbounded long-form tag IDs

pyasn1 · pyasn1

Official source article: GitHub GHSA-M4P7-R5RC-7G4J ↗. 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 0.62% for the current model date.

Compensating controls

  • Validate the affected product branch and deploy the verified fixed release.
  • Restrict the affected network interface to trusted sources where business-safe.
  • Monitor vendor guidance and exploitation sources for a material change.

Verification

  1. Confirm that the asset runs pyasn1 pyasn1 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.

Distribution package intelligence

Release-specific package status

Debian, ubuntu findings are scoped to the named distribution, release and source package. An absent finding does not mean a package is unaffected.

5 package states
Repository candidate not checked

A published vendor fix does not prove that a matching update is enabled and installable on a particular asset. Confirm the local package candidate before scheduling remediation.

Distribution releaseSource packageVendor stateFixed versionEvidence
Debian trixietrixie · sourcepyasn1Vendor fix publishedDebian records a fixed source-package version for this release.0.6.1-1+deb13u3Debian Security Tracker ↗Source updated 6 Oct 2026
Debian bookwormbookworm · sourcepyasn1Vendor fix publishedDebian records a fixed source-package version for this release.0.4.8-3+deb12u3Debian Security Tracker ↗Source updated 6 Oct 2026
Debian forkyforky · sourcepyasn1Vendor fix publishedDebian records a fixed source-package version for this release.0.6.4-1Debian Security Tracker ↗Source updated 6 Oct 2026
Debian sidsid · sourcepyasn1Vendor fix publishedDebian records a fixed source-package version for this release.0.6.4-1Debian Security Tracker ↗Source updated 6 Oct 2026
Ubuntu 24.04 LTSnoble · standard archivepyasn1Vendor fix publishedCanonical reports that a fixed source package version has been published. Repository candidate availability is not checked by BlackTree.0.4.8-4ubuntu0.3Canonical Ubuntu Security ↗Source updated 5 Oct 2026
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
PyPIpyasn1ECOSYSTEM: introduced 0; fixed 0.6.40.6.4OSV record ↗aggregator derived · 10 Sep 2026
pippyasn1< 0.6.40.6.4GitHub advisory ↗upstream repository advisory · 31 Jul 2026
Direct vendor intelligence

Authoritative vendor CSAF and VEX advisories

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

1 current
CVE-2026-59884 · CSAF 2.0 · revision 3 · finalRed Hat Product Securitypython-pyasn1: pyasn1: Denial of Service via crafted BER input
105 known affected

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

  • exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence
  • lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core
  • mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8
  • mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8
  • rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers
  • migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization
  • mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization
  • openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed
  • openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed
  • openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed
  • openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3
  • rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2
Summary
A flaw was found in pyasn1, a generic ASN.1 library for Python. The Basic Encoding Rules (BER) decoder, used by CER and DER codecs, processes long-form tags by accumulating continuation octets without an upper bound. A remote attacker can exploit this by providing a specially crafted input, leading to the construction of an arbitrarily large integer. This can cause the CPU cost to grow quadratically, resulting in a Denial of Service (DoS) for any application decoding untrusted BER, CER, or DER input.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2026:59518
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-2026-43956

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

pyasn1 is a generic ASN.1 library for Python. Prior to 0.6.4, the BER decoder shared by the CER and DER codecs parses long-form tags by accumulating continuation octets without an upper bound on the tag ID size, allowing a crafted input to force construction of an arbitrarily large integer with CPU cost growing quadratically and to trigger unhandled ValueError exceptions in Python 3.11+ error formatting paths. Any application decoding untrusted BER, CER, or DER input is affected. This issue is fixed in version 0.6.4.

What

pyasn1 is a generic ASN.1 library for Python. Prior to 0.6.4, the BER decoder shared by the CER and DER codecs parses long-form tags by accumulating continuation octets without an upper bound on the tag ID size, allowing a crafted input to force construction of an arbitrarily large integer with CPU cost growing quadratically and to trigger unhandled ValueError exceptions in Python 3.11+ error formatting paths. Any application decoding untrusted BER, CER, or DER input is affected. This issue is fixed in version 0.6.4.

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 cause the confidentiality, integrity or availability impact described by the vendor.

What

pyasn1 is a generic ASN.1 library for Python. Prior to 0.6.4, the BER decoder shared by the CER and DER codecs parses long-form tags by accumulating continuation octets without an upper bound on the tag ID size, allowing a crafted input to force construction of an arbitrarily large integer with CPU cost growing quadratically and to trigger unhandled ValueError exceptions in Python 3.11+ error formatting paths. Any application decoding untrusted BER, CER, or DER input is affected. This issue is fixed in version 0.6.4.

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 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 → Uncontrolled Resource Consumption → 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
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.
NetworkUnauthenticatedCWE-400
A

Official authority intelligence

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

CERT-FR · French · CERTFR-2026-AVI-1249Multiples vulnérabilités dans les produits VMware

ord?id=CVE-2026-58012 Référence CVE CVE-2026-58013 https://www.cve.org/CVERecord?id=CVE-2026-58013 Référence CVE CVE-2026-58014 https://www.cve.org/CVERecord?id=CVE-2026-58014 Référence CVE CVE-2026-58015 https://www.cve.org/CVERecord?id=CVE-2026-58015 Référence CVE CVE-2026-58016 https://www.cve.org/CVERecord?id=CVE-2026-58016 Référence CVE CVE-2026-58043 https://www.cve.org/CVERecord?id=CVE-2026-58043 Référence CVE CVE-2026-58055 https://www.cve.org/CVERecord?id=CVE-2026-58055 Référence CVE CVE-2026-59084 https://www.cve.org/CVERecord?id=CVE-2026-59084 Référence CVE CVE-2026-5928 https://www.cve.org/CVERecord?id=CVE-2026-5928 Référence CVE CVE-2026-59884 https://www.cve.org/CVERecord?id=CVE-2026-59884 Référence CVE CVE-2026-59885 https://www.cve.org/CVERecord?id=CVE-2026-59885 Référence CVE CVE-2026-59886 https://www.cve.org/CVERecord?id=CVE-2026-59886 Référence CVE CVE-2026-59889 https://www.cve.org/CVERecord?id=CVE-2026-59889 Référence CVE CVE-2026-59890 https://www.cve.org/CVERecord?id=CVE-2026-59890 Référence CVE CVE-2026-59903 https://www.cve.org/CVERecord?id=CVE-2026-59903 Référence CVE CVE-2026-6238 https://www.cve.org/CVERecord?id=CVE-2026-6238 Référence CVE CVE-2026-63072 https://www.cve.org/CVERecord?id=CVE-2026-63072 Référence CVE CVE-2026-63073 https://www.cve.org/CVERecord?id=CV

Official advisory ↗
JVN iPedia · Japanese · JVNDB-2026-024670pyasn1 maintenance organizationのASN.1 library for Pythonにおけるリソースの枯渇に関する脆弱性

pyasn1はPython用の汎用ASN.1ライブラリです。バージョン0.6.4以前では、CERおよびDERコーデックで共有されるBERデコーダがタグIDのサイズに上限を設けずに連続オクテットを蓄積しながらロングフォームタグを解析していました。このため、細工された入力により任意の大きさの整数を構築させることが可能で、その結果CPUコストが二次関数的に増大し、Python 3.11以降のエラーフォーマット処理パスで未処理のValueError例外を引き起こす恐れがあります。信頼できないBER、CER、またはDER入力をデコードするアプリケーションはすべて影響を受けます。この問題はバージョン0.6.4で修正されています。

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-2026:59518
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 14 Jul 2026 · Last source change 15 Jul 2026, 13:50 UTC · CWE-400 · Uncontrolled Resource Consumption

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-2026-43956
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
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 76 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 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-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/disk-image-cuda-rhel9@sha256:c89a11f9d1f3ec913be22a418b9d7667f6cda2aa7dd0556c796c90c1fc785096_amd64 as a component of Red Hat Enterprise Linux AI 3.3; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:2feba54cbd221a4786bcab320c8438816b0632df71f82f23b123ed4a4a111210_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:304991bad591fadfed03b7f56ff6c265a6416e2e13fe02129dc253db4e13092f_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4cf62283b344149cbdaab95c7045df607d101745ff0657146de50087fbb2bfb5_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4e1d4dc5b792364e2cfb31cd20e184c01aeff4ae0fa55dfc3d68aafb2a50a7f5_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:5fd4b01901ce6baec12a9dfd8e0e140fec696200b46197015ce330999c0f86bb_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:7c95d44af130436149a8355ec1f9363556e6207a6cf62e9b571c53540be02cf4_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:a2682c86119c557e2f9f078fc087ccc521b17b7cabf3fa0b1fa41208f2b16b89_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:f40f07a205a9c392e7e221d38065b11896b37e4d03cbff1436a584bec1c09db1_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:368a3a34d5f57726bde442bf02963ecb1724d648e1dfdebe30fbd026c80fa38c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:69ee4240b85018bdcf1da71892e2f9af24ee32e3f28d92201cfd6f8e30027a64_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6b16b2aac3263e9813c2e69d76e2f9565490b5794ed9d76a590f6df3c1c801ef_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6be3ab2d871034dfe789baac493097b860489134cc20e35e172e9ba7a056292a_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9@sha256:f63b31c251afd3260357876fdbc5fc9521df4803875110f94916b10cfbb94c86_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9@sha256:70e0fb79848b7aa369a969ff2a2b784cee865799c09ef105d2c340ebc8e10478_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9@sha256:5e0260262d6a8854b19403448c45107ba42101afc408d3641453aa9efe4d8212_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:15f5d799d1ba9318a757445ce94b84b7855b7c6ce37c46e199cac9d8eacf41a2_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:a9ada15c58e4d22767510fc654207223b5b586c89a1b897d5cc92647158a56ad_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9@sha256:9628c5e318cac3bfb38178693fd770288312d51b0c5b07ba5693484d1ab27c12_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:cdd7d9f982c1f8a94dd4aad43e705274aae1bf0942e0442e60c3973f9c198f23_amd64 as a component of Red Hat OpenShift AI 3.4; and 22 more
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 75 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 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-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/disk-image-cuda-rhel9@sha256:c89a11f9d1f3ec913be22a418b9d7667f6cda2aa7dd0556c796c90c1fc785096_amd64 as a component of Red Hat Enterprise Linux AI 3.3; jaeger-0:2.19.0-1.1.hum1@aarch64 as a component of Red Hat Hardened Images; jaeger-0:2.19.0-1.1.hum1@src as a component of Red Hat Hardened Images; jaeger-0:2.19.0-1.1.hum1@x86_64 as a component of Red Hat Hardened Images; registry.redhat.io/rhoai/odh-llama-stack-core-rhel9@sha256:41ab98e2c288953420078c9b77b8ed2b3dd7c1d2a233fbd8e41a6d89daf67b20_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-llama-stack-core-rhel9@sha256:aa99db4b8a3c676a090c388aa1bf04abd1e9bd9f6eaa8b8b2d415ff632095b00_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:457abf22453a5c5de8343331d994fe1072f9fc77e8c1460807c3a76458fde03b_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:873b0274f09afbccad4a9bce02ac16890de25901ec7e9970e73708f8b6acd14c_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:2feba54cbd221a4786bcab320c8438816b0632df71f82f23b123ed4a4a111210_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:304991bad591fadfed03b7f56ff6c265a6416e2e13fe02129dc253db4e13092f_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4cf62283b344149cbdaab95c7045df607d101745ff0657146de50087fbb2bfb5_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4e1d4dc5b792364e2cfb31cd20e184c01aeff4ae0fa55dfc3d68aafb2a50a7f5_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:5fd4b01901ce6baec12a9dfd8e0e140fec696200b46197015ce330999c0f86bb_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:7c95d44af130436149a8355ec1f9363556e6207a6cf62e9b571c53540be02cf4_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:a2682c86119c557e2f9f078fc087ccc521b17b7cabf3fa0b1fa41208f2b16b89_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:f40f07a205a9c392e7e221d38065b11896b37e4d03cbff1436a584bec1c09db1_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:368a3a34d5f57726bde442bf02963ecb1724d648e1dfdebe30fbd026c80fa38c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:69ee4240b85018bdcf1da71892e2f9af24ee32e3f28d92201cfd6f8e30027a64_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6b16b2aac3263e9813c2e69d76e2f9565490b5794ed9d76a590f6df3c1c801ef_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6be3ab2d871034dfe789baac493097b860489134cc20e35e172e9ba7a056292a_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9@sha256:f63b31c251afd3260357876fdbc5fc9521df4803875110f94916b10cfbb94c86_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9@sha256:70e0fb79848b7aa369a969ff2a2b784cee865799c09ef105d2c340ebc8e10478_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9@sha256:5e0260262d6a8854b19403448c45107ba42101afc408d3641453aa9efe4d8212_amd64 as a component of Red Hat OpenShift AI 3.4; and 26 more
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 76 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 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-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; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:2feba54cbd221a4786bcab320c8438816b0632df71f82f23b123ed4a4a111210_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:304991bad591fadfed03b7f56ff6c265a6416e2e13fe02129dc253db4e13092f_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4cf62283b344149cbdaab95c7045df607d101745ff0657146de50087fbb2bfb5_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4e1d4dc5b792364e2cfb31cd20e184c01aeff4ae0fa55dfc3d68aafb2a50a7f5_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:5fd4b01901ce6baec12a9dfd8e0e140fec696200b46197015ce330999c0f86bb_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:7c95d44af130436149a8355ec1f9363556e6207a6cf62e9b571c53540be02cf4_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:a2682c86119c557e2f9f078fc087ccc521b17b7cabf3fa0b1fa41208f2b16b89_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:f40f07a205a9c392e7e221d38065b11896b37e4d03cbff1436a584bec1c09db1_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:368a3a34d5f57726bde442bf02963ecb1724d648e1dfdebe30fbd026c80fa38c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:69ee4240b85018bdcf1da71892e2f9af24ee32e3f28d92201cfd6f8e30027a64_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6b16b2aac3263e9813c2e69d76e2f9565490b5794ed9d76a590f6df3c1c801ef_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6be3ab2d871034dfe789baac493097b860489134cc20e35e172e9ba7a056292a_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9@sha256:f63b31c251afd3260357876fdbc5fc9521df4803875110f94916b10cfbb94c86_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9@sha256:70e0fb79848b7aa369a969ff2a2b784cee865799c09ef105d2c340ebc8e10478_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9@sha256:5e0260262d6a8854b19403448c45107ba42101afc408d3641453aa9efe4d8212_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:15f5d799d1ba9318a757445ce94b84b7855b7c6ce37c46e199cac9d8eacf41a2_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:a9ada15c58e4d22767510fc654207223b5b586c89a1b897d5cc92647158a56ad_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9@sha256:9628c5e318cac3bfb38178693fd770288312d51b0c5b07ba5693484d1ab27c12_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:cdd7d9f982c1f8a94dd4aad43e705274aae1bf0942e0442e60c3973f9c198f23_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:f753fdf16a2ebb4241fad71636dea159251e3d54fffcfa9cfd2342271b2d5485_arm64 as a component of Red Hat OpenShift AI 3.4; and 21 more
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 76 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 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-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/disk-image-cuda-rhel9@sha256:c89a11f9d1f3ec913be22a418b9d7667f6cda2aa7dd0556c796c90c1fc785096_amd64 as a component of Red Hat Enterprise Linux AI 3.3; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:2feba54cbd221a4786bcab320c8438816b0632df71f82f23b123ed4a4a111210_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:304991bad591fadfed03b7f56ff6c265a6416e2e13fe02129dc253db4e13092f_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4cf62283b344149cbdaab95c7045df607d101745ff0657146de50087fbb2bfb5_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4e1d4dc5b792364e2cfb31cd20e184c01aeff4ae0fa55dfc3d68aafb2a50a7f5_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:5fd4b01901ce6baec12a9dfd8e0e140fec696200b46197015ce330999c0f86bb_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:7c95d44af130436149a8355ec1f9363556e6207a6cf62e9b571c53540be02cf4_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:a2682c86119c557e2f9f078fc087ccc521b17b7cabf3fa0b1fa41208f2b16b89_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:f40f07a205a9c392e7e221d38065b11896b37e4d03cbff1436a584bec1c09db1_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:368a3a34d5f57726bde442bf02963ecb1724d648e1dfdebe30fbd026c80fa38c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:69ee4240b85018bdcf1da71892e2f9af24ee32e3f28d92201cfd6f8e30027a64_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6b16b2aac3263e9813c2e69d76e2f9565490b5794ed9d76a590f6df3c1c801ef_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6be3ab2d871034dfe789baac493097b860489134cc20e35e172e9ba7a056292a_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9@sha256:f63b31c251afd3260357876fdbc5fc9521df4803875110f94916b10cfbb94c86_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9@sha256:70e0fb79848b7aa369a969ff2a2b784cee865799c09ef105d2c340ebc8e10478_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9@sha256:5e0260262d6a8854b19403448c45107ba42101afc408d3641453aa9efe4d8212_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:15f5d799d1ba9318a757445ce94b84b7855b7c6ce37c46e199cac9d8eacf41a2_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:a9ada15c58e4d22767510fc654207223b5b586c89a1b897d5cc92647158a56ad_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9@sha256:9628c5e318cac3bfb38178693fd770288312d51b0c5b07ba5693484d1ab27c12_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:cdd7d9f982c1f8a94dd4aad43e705274aae1bf0942e0442e60c3973f9c198f23_amd64 as a component of Red Hat OpenShift AI 3.4; and 22 more
    Red Hat Product Security ↗
  3. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 77 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 as a component of Red Hat AI Inference Server 3.3; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:2feba54cbd221a4786bcab320c8438816b0632df71f82f23b123ed4a4a111210_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:304991bad591fadfed03b7f56ff6c265a6416e2e13fe02129dc253db4e13092f_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4cf62283b344149cbdaab95c7045df607d101745ff0657146de50087fbb2bfb5_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4e1d4dc5b792364e2cfb31cd20e184c01aeff4ae0fa55dfc3d68aafb2a50a7f5_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:5fd4b01901ce6baec12a9dfd8e0e140fec696200b46197015ce330999c0f86bb_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:7c95d44af130436149a8355ec1f9363556e6207a6cf62e9b571c53540be02cf4_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:a2682c86119c557e2f9f078fc087ccc521b17b7cabf3fa0b1fa41208f2b16b89_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:f40f07a205a9c392e7e221d38065b11896b37e4d03cbff1436a584bec1c09db1_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:368a3a34d5f57726bde442bf02963ecb1724d648e1dfdebe30fbd026c80fa38c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:69ee4240b85018bdcf1da71892e2f9af24ee32e3f28d92201cfd6f8e30027a64_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6b16b2aac3263e9813c2e69d76e2f9565490b5794ed9d76a590f6df3c1c801ef_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6be3ab2d871034dfe789baac493097b860489134cc20e35e172e9ba7a056292a_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9@sha256:f63b31c251afd3260357876fdbc5fc9521df4803875110f94916b10cfbb94c86_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9@sha256:70e0fb79848b7aa369a969ff2a2b784cee865799c09ef105d2c340ebc8e10478_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9@sha256:5e0260262d6a8854b19403448c45107ba42101afc408d3641453aa9efe4d8212_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:15f5d799d1ba9318a757445ce94b84b7855b7c6ce37c46e199cac9d8eacf41a2_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:a9ada15c58e4d22767510fc654207223b5b586c89a1b897d5cc92647158a56ad_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9@sha256:9628c5e318cac3bfb38178693fd770288312d51b0c5b07ba5693484d1ab27c12_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:cdd7d9f982c1f8a94dd4aad43e705274aae1bf0942e0442e60c3973f9c198f23_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:f753fdf16a2ebb4241fad71636dea159251e3d54fffcfa9cfd2342271b2d5485_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cuda130-torch210-py312-rhel9@sha256:5e8cac66dc108c958173412601f1c37e777f53209ff9166add58a011823c87f6_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cuda130-torch210-py312-rhel9@sha256:ea69ab01a3aaeba9b4db8abbace9014a3044e0f0f13fb7aaaef93acf72f50248_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-rocm64-torch291-py312-rhel9@sha256:b2a253f3dc063a8e1cee441640cce13fcf04918ce453be8f5d488301b1458a91_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-training-cuda128-torch29-py312-rhel9@sha256:d5cc3e7ad03f83104f3d1d4038fb2a4fa11dfa7501ce6be28ac568459a56f089_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9@sha256:206b9bc4eb2f30537b9d1f99cc0ebc4926fcb1e936ef6b6a2ffcebd3abdc0bb4_arm64 as a component of Red Hat OpenShift AI 3.4; and 16 more
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 76 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 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-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; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:2feba54cbd221a4786bcab320c8438816b0632df71f82f23b123ed4a4a111210_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:304991bad591fadfed03b7f56ff6c265a6416e2e13fe02129dc253db4e13092f_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4cf62283b344149cbdaab95c7045df607d101745ff0657146de50087fbb2bfb5_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4e1d4dc5b792364e2cfb31cd20e184c01aeff4ae0fa55dfc3d68aafb2a50a7f5_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:5fd4b01901ce6baec12a9dfd8e0e140fec696200b46197015ce330999c0f86bb_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:7c95d44af130436149a8355ec1f9363556e6207a6cf62e9b571c53540be02cf4_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:a2682c86119c557e2f9f078fc087ccc521b17b7cabf3fa0b1fa41208f2b16b89_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:f40f07a205a9c392e7e221d38065b11896b37e4d03cbff1436a584bec1c09db1_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:368a3a34d5f57726bde442bf02963ecb1724d648e1dfdebe30fbd026c80fa38c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:69ee4240b85018bdcf1da71892e2f9af24ee32e3f28d92201cfd6f8e30027a64_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6b16b2aac3263e9813c2e69d76e2f9565490b5794ed9d76a590f6df3c1c801ef_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6be3ab2d871034dfe789baac493097b860489134cc20e35e172e9ba7a056292a_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9@sha256:f63b31c251afd3260357876fdbc5fc9521df4803875110f94916b10cfbb94c86_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9@sha256:70e0fb79848b7aa369a969ff2a2b784cee865799c09ef105d2c340ebc8e10478_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9@sha256:5e0260262d6a8854b19403448c45107ba42101afc408d3641453aa9efe4d8212_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:15f5d799d1ba9318a757445ce94b84b7855b7c6ce37c46e199cac9d8eacf41a2_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:a9ada15c58e4d22767510fc654207223b5b586c89a1b897d5cc92647158a56ad_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9@sha256:9628c5e318cac3bfb38178693fd770288312d51b0c5b07ba5693484d1ab27c12_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:cdd7d9f982c1f8a94dd4aad43e705274aae1bf0942e0442e60c3973f9c198f23_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:f753fdf16a2ebb4241fad71636dea159251e3d54fffcfa9cfd2342271b2d5485_arm64 as a component of Red Hat OpenShift AI 3.4; and 21 more
    Red Hat Product Security ↗
  4. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 96 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 as a component of Red Hat AI Inference Server 3.3; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 77 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 as a component of Red Hat AI Inference Server 3.3; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:2feba54cbd221a4786bcab320c8438816b0632df71f82f23b123ed4a4a111210_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:304991bad591fadfed03b7f56ff6c265a6416e2e13fe02129dc253db4e13092f_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4cf62283b344149cbdaab95c7045df607d101745ff0657146de50087fbb2bfb5_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-mlflow-rhel9@sha256:4e1d4dc5b792364e2cfb31cd20e184c01aeff4ae0fa55dfc3d68aafb2a50a7f5_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:5fd4b01901ce6baec12a9dfd8e0e140fec696200b46197015ce330999c0f86bb_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:7c95d44af130436149a8355ec1f9363556e6207a6cf62e9b571c53540be02cf4_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:a2682c86119c557e2f9f078fc087ccc521b17b7cabf3fa0b1fa41208f2b16b89_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-model-registry-job-async-upload-rhel9@sha256:f40f07a205a9c392e7e221d38065b11896b37e4d03cbff1436a584bec1c09db1_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:368a3a34d5f57726bde442bf02963ecb1724d648e1dfdebe30fbd026c80fa38c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:69ee4240b85018bdcf1da71892e2f9af24ee32e3f28d92201cfd6f8e30027a64_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6b16b2aac3263e9813c2e69d76e2f9565490b5794ed9d76a590f6df3c1c801ef_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:6be3ab2d871034dfe789baac493097b860489134cc20e35e172e9ba7a056292a_s390x as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9@sha256:f63b31c251afd3260357876fdbc5fc9521df4803875110f94916b10cfbb94c86_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9@sha256:70e0fb79848b7aa369a969ff2a2b784cee865799c09ef105d2c340ebc8e10478_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9@sha256:5e0260262d6a8854b19403448c45107ba42101afc408d3641453aa9efe4d8212_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:15f5d799d1ba9318a757445ce94b84b7855b7c6ce37c46e199cac9d8eacf41a2_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9@sha256:a9ada15c58e4d22767510fc654207223b5b586c89a1b897d5cc92647158a56ad_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9@sha256:9628c5e318cac3bfb38178693fd770288312d51b0c5b07ba5693484d1ab27c12_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:cdd7d9f982c1f8a94dd4aad43e705274aae1bf0942e0442e60c3973f9c198f23_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cpu-torch210-py312-rhel9@sha256:f753fdf16a2ebb4241fad71636dea159251e3d54fffcfa9cfd2342271b2d5485_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cuda130-torch210-py312-rhel9@sha256:5e8cac66dc108c958173412601f1c37e777f53209ff9166add58a011823c87f6_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-cuda130-torch210-py312-rhel9@sha256:ea69ab01a3aaeba9b4db8abbace9014a3044e0f0f13fb7aaaef93acf72f50248_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-th06-rocm64-torch291-py312-rhel9@sha256:b2a253f3dc063a8e1cee441640cce13fcf04918ce453be8f5d488301b1458a91_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-training-cuda128-torch29-py312-rhel9@sha256:d5cc3e7ad03f83104f3d1d4038fb2a4fa11dfa7501ce6be28ac568459a56f089_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9@sha256:206b9bc4eb2f30537b9d1f99cc0ebc4926fcb1e936ef6b6a2ffcebd3abdc0bb4_arm64 as a component of Red Hat OpenShift AI 3.4; and 16 more
    Red Hat Product Security ↗
  5. Vendor guidanceAuthoritative vendor guidance changed from remediation: access.redhat.com/CVE-2026-59884 to remediation: access.redhat.com/CVE-2026-59884.
    Before
    remediation: access.redhat.com/CVE-2026-59884
    After
    remediation: access.redhat.com/CVE-2026-59884
    Red Hat Product Security ↗
  6. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; and 97 more · Fixed: jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; mta/mta-rhel9-operator as a component of Migration Toolkit for Applications 8; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhmtc/openshift-migration-rhel8-operator as a component of Migration Toolkit for Containers; migration-toolkit-virtualization/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; mtv-candidate/mtv-rhel9-operator as a component of Migration Toolkit for Virtualization; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-to-dataverse-exporter-rhel9 as a component of OpenShift Lightspeed; openshift-service-mesh/kiali-rhel9-operator as a component of OpenShift Service Mesh 3; rhacm2/volsync-operator-bundle as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhacm2/volsync-rhel9 as a component of Red Hat Advanced Cluster Management for Kubernetes 2; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/ee-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/platform-resource-runner-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/eda-controller-rhel9-operator as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 96 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:5417790c2abbff7a0b4ca9fcd672a8e613a1cdfe2cf8afa10ec47a8883905189_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:946b96330ca0c947dd81e282f084505b44c960b95e0597d9f33cf2b401ee5861_arm64 as a component of Red Hat AI Inference Server 3.3; jaeger-main@aarch64 as a component of Red Hat Hardened Images; jaeger-main@src as a component of Red Hat Hardened Images; jaeger-main@x86_64 as a component of Red Hat Hardened Images
    Red Hat Product Security ↗
Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
CVE published
Fixed release or patch reference recorded
ENISA EUVD · EUVD-2026-43956↗Vendor CSAF · Red Hat Product Security↗Patch or update reference↗CVE authority or vendor reference · GitHub GHSA-M4P7-R5RC-7G4J↗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-2026-59884 · cve.blacktree.nl