BlackTreeCVE Intelligence
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Full vulnerability report · 2026
CVE-2026-73417High confidence

JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`)

jupyterlab · jupyterlab

Official source article: GitHub GHSA-PPPJ-HQ3G-57PJ ↗. Check the applicable product and release in the original source.

8.6HighCVSS 4.0
Recommended action
Patch only the product branches with a verified fix

High technical severity; prioritise exposed affected systems while verifying vendor guidance. Verified remediation exists for at least one product or source, but 1 structured product or package state remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Fix availability varies by product
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 0.75% 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 jupyterlab jupyterlab 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.

Cross-source reconciliation

Remediation availability differs by product scope

Verified remediation exists for at least one product or source, but 1 structured product or package state remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Distribution package intelligence

Release-specific package status

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

3 package states
Package result overrides the generic status

BlackTree has verified remediation for at least one product or source, but the relevant distribution still reports no fixed package for 1 affected package state shown here. Treat those rows as affected with no fix until that distribution publishes a fixed version.

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 · sourcejupyterlabAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 6 Oct 2026
Debian forkyforky · sourcejupyterlabVendor fix publishedDebian records a fixed source-package version for this release.4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4Debian Security Tracker ↗Source updated 6 Oct 2026
Debian sidsid · sourcejupyterlabVendor fix publishedDebian records a fixed source-package version for this release.4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4Debian Security Tracker ↗Source updated 6 Oct 2026
Open-source package ranges4 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
PyPIjupyterlabECOSYSTEM: introduced 4.6.0; fixed 4.6.24.6.2OSV record ↗aggregator derived · 10 Sep 2026
PyPIjupyterlabECOSYSTEM: introduced 3.3.0; fixed 4.5.104.5.10OSV record ↗aggregator derived · 10 Sep 2026
pipjupyterlab>= 4.6.0, <= 4.6.14.6.2GitHub advisory ↗upstream repository advisory · 12 Aug 2026
pipjupyterlab>= 3.3.0, <= 4.5.94.5.10GitHub advisory ↗upstream repository advisory · 12 Aug 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-2026-73417 · CSAF 2.0 · revision 3 · finalRed Hat Product Securityjupyterlab: JupyterLab: Cross-site scripting (XSS) allows arbitrary code execution
9 known affected

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

  • rhoai/odh-feature-server-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)
Summary
A flaw was found in JupyterLab. Improper validation of `sideBySideLeftMarginOverride` and `sideBySideRightMarginOverride` settings within the `overrides.json` file allows for cross-site scripting (XSS). An attacker can exploit this by convincing a user to import a specially crafted settings file, or by placing such a file in a shared settings location. Successful exploitation can lead to arbitrary code execution, enabling the attacker to read or modify notebooks and files, and run code through the notebook server.
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-2026-58522

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 actionPatch only the product branches with a verified fix

High technical severity; prioritise exposed affected systems while verifying vendor guidance. Verified remediation exists for at least one product or source, but 1 structured product or package state remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Fix availability varies by product
01

What, why and how

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 3.3.0 until 4.5.10 and 4.6.2, JupyterLab allows notebook settings to be shared and applied through an overrides.json file using the Import button in the Settings Editor. In packages/notebook-extension/schema/tracker.json and packages/notebook-extension/src/index.ts, the sideBySideLeftMarginOverride and sideBySideRightMarginOverride settings are not properly validated before being inserted into style content, allowing a crafted settings file to contain instructions that execute as code instead of only changing display preferences. A user can import the malicious file, or an attacker with access to a shared settings location can plant an overrides.json that is applied automatically. The embedded code runs with the affected user's access and can read or modify notebooks and files and run code through the notebook server, including on a connected kernel. This issue is fixed in versions 4.5.10 and 4.6.2.

What

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 3.3.0 until 4.5.10 and 4.6.2, JupyterLab allows notebook settings to be shared and applied through an overrides.json file using the Import button in the Settings Editor. In packages/notebook-extension/schema/tracker.json and packages/notebook-extension/src/index.ts, the sideBySideLeftMarginOverride and sideBySideRightMarginOverride settings are not properly validated before being inserted into style content, allowing a crafted settings file to contain instructions that execute as code instead of only changing display preferences. A user can import the malicious file, or an attacker with access to a shared settings location can plant an overrides.json that is applied automatically. The embedded code runs with the affected user's access and can read or modify notebooks and files and run code through the notebook server, including on a connected kernel. This issue is fixed in versions 4.5.10 and 4.6.2.

Why

Attacker-controlled content can reach a browser as executable script without sufficient output encoding or sanitisation.

How

An attacker operating through a network path may attempt exploitation when the stated preconditions are met. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.

What

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 3.3.0 until 4.5.10 and 4.6.2, JupyterLab allows notebook settings to be shared and applied through an overrides.json file using the Import button in the Settings Editor. In packages/notebook-extension/schema/tracker.json and packages/notebook-extension/src/index.ts, the sideBySideLeftMarginOverride and sideBySideRightMarginOverride settings are not properly validated before being inserted into style content, allowing a crafted settings file to contain instructions that execute as code instead of only changing display preferences. A user can import the malicious file, or an attacker with access to a shared settings location can plant an overrides.json that is applied automatically. The embedded code runs with the affected user's access and can read or modify notebooks and files and run code through the notebook server, including on a connected kernel. This issue is fixed in versions 4.5.10 and 4.6.2.

Why

Attacker-controlled content can reach a browser as executable script without sufficient output encoding or sanitisation.

How

An attacker operating through a network path may attempt exploitation when the stated preconditions are met. 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 → Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') → cause the confidentiality, integrity or availability impact described by the vendor
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
Active interaction required
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Not a CVSS 4.0 base metric
Weakness
?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-79 ↗

CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'). The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

CVSS vector
?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:L/SC:N/SI:N/SA:L

Common Vulnerability Scoring System 4.0: 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.ATNoneAttack requirements: No additional deployment or execution condition is required.PRNonePrivileges required: The attacker does not need an account or existing privileges.UIActiveUser interaction: A user must take a deliberate action for exploitation to succeed.VCHighVulnerable-system confidentiality: A successful attack can cause a major loss.VIHighVulnerable-system integrity: A successful attack can cause a major loss.VALowVulnerable-system availability: A successful attack can cause a limited loss.SCNoneSubsequent-system confidentiality: No direct loss is represented by this metric.SINoneSubsequent-system integrity: No direct loss is represented by this metric.SALowSubsequent-system availability: A successful attack can cause a limited 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-79
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-20260819Security Bulletin 19 Aug 2026

The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 19 Aug 2026, published on 19 August 2026. Open the linked bulletin for the product, severity and reference information published in that issue.

Official advisory ↗
CSIRT Italia · Italian · rilevate-vulnerabilita-in-jupyterlabRilevate vulnerabilità in JupyterLab

Rilevate due vulnerabilità di sicurezza con gravità "alta", che interessano il software JupyterLab, ambiente di sviluppo interattivo utilizzato per attività di programmazione, analisi dei dati, machine learning e calcolo scientifico.

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.
Fix availability varies by product
Affected
Fixed
Action
Use the product-specific evidence above. Patch only products with a verified fixed release, and keep every affected or under-investigation state without a matching fix in the remediation queue.
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 13 Aug 2026 · Last source change 14 Aug 2026, 16:06 UTC · CWE-79 · Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

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-2026-58522
Product sourceVendor CSAF · Red Hat Product Security
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD awaiting enrichment

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
    rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:2bb2dd7720012606878cf627b51b0a578c213f0a7bab293da77fd394f899b68c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:31da636a661576db538dac1f9e20faa7dec811b67b11ba9c22ba09b85a0d0547_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:349b7afc66fc1b42411b9b0b089cb291f3466b5e4f9fc5efcdaef779c14c9ec2_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:fd758fc7e8578930e174518401a8a6bc5a0d5e975ccd10e500719dbbe8695522_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:3d58932e2758a93f9eafe1581071ba86af3d9a51646eef97b8f6aa9442381ec0_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:9d22cb7ad2fb916a4ef21df5e8d425e30ba4126987c664c663e9a0c7c8c44191_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:c01ab60b30d02f598984730edc6cbb8b40bcd01c78efa44688fd5ec992f57a50_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:d6eb02550d96ae57e4e3da5fc2c97d04e03915da3503ce89e8e62ba40337dd6e_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:83294f4da36532bb4ec60345e89b2266fa7db7ddf18c896ecab81b9a94382ca4_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:929f62a082f56562f4f5962aec079ea97012e50644d97ed45cacfc029eb433c0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9@sha256:a66be05a313a9d90338d9e2525cf457698c2032c8fd10074f2c264ef60301ebb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9@sha256:61c02bb05464c792a3602e49e6312798cb59c4c1c57ddcaf130ff25c7752b390_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9@sha256:66b60600846f5b73d140d152d5d25b93585eae35eea8fe4c82561e36a5694201_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9@sha256:befe556164f87749e15a72c234a7592ae73257a08eb065feafd7b202493365b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:70bbd701b998d71acace1c813470f38a9259d4894a99786b31fadb932ad1aeff_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:922a9c86c44e5579bdd7b06ab7c19860a46d62ab44d2dc1283e0b956de37c7dc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:dbf1e1e786eec9b8b0f281b7257d0b1a1821cd13dcbd71e28dd0214b8bb397bd_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:2f4ab0e14df06f0e558bb73eeb2ee7b7bdab3cf013a012aca27580f986642677_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:71338ad87a37ab508b7ae1b34e9a645449493669a305d987c43b024ed1e1d3fc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:cae4b49256f75492270c222d88d9b9fb201095b4276e95b7fc258c10260c81b7_amd64 as a component of Red Hat OpenShift AI 2.25
    After
    rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:2bb2dd7720012606878cf627b51b0a578c213f0a7bab293da77fd394f899b68c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:31da636a661576db538dac1f9e20faa7dec811b67b11ba9c22ba09b85a0d0547_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:349b7afc66fc1b42411b9b0b089cb291f3466b5e4f9fc5efcdaef779c14c9ec2_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:fd758fc7e8578930e174518401a8a6bc5a0d5e975ccd10e500719dbbe8695522_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:3d58932e2758a93f9eafe1581071ba86af3d9a51646eef97b8f6aa9442381ec0_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:9d22cb7ad2fb916a4ef21df5e8d425e30ba4126987c664c663e9a0c7c8c44191_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:c01ab60b30d02f598984730edc6cbb8b40bcd01c78efa44688fd5ec992f57a50_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:d6eb02550d96ae57e4e3da5fc2c97d04e03915da3503ce89e8e62ba40337dd6e_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:83294f4da36532bb4ec60345e89b2266fa7db7ddf18c896ecab81b9a94382ca4_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:929f62a082f56562f4f5962aec079ea97012e50644d97ed45cacfc029eb433c0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9@sha256:a66be05a313a9d90338d9e2525cf457698c2032c8fd10074f2c264ef60301ebb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9@sha256:61c02bb05464c792a3602e49e6312798cb59c4c1c57ddcaf130ff25c7752b390_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9@sha256:66b60600846f5b73d140d152d5d25b93585eae35eea8fe4c82561e36a5694201_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9@sha256:befe556164f87749e15a72c234a7592ae73257a08eb065feafd7b202493365b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:70bbd701b998d71acace1c813470f38a9259d4894a99786b31fadb932ad1aeff_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:922a9c86c44e5579bdd7b06ab7c19860a46d62ab44d2dc1283e0b956de37c7dc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:dbf1e1e786eec9b8b0f281b7257d0b1a1821cd13dcbd71e28dd0214b8bb397bd_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:2f4ab0e14df06f0e558bb73eeb2ee7b7bdab3cf013a012aca27580f986642677_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:71338ad87a37ab508b7ae1b34e9a645449493669a305d987c43b024ed1e1d3fc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:cae4b49256f75492270c222d88d9b9fb201095b4276e95b7fc258c10260c81b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:0293bf4fc84a766fece203d34acb4057605e425eb69c9168a115a6a64889b47e_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:7002292b09b52e871e001fdf34518bca048f9d51fd30ab70718f029ae6ceea65_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:8f46c12c1d0469bd16d0a076778c419910203849819401d85aac6d126c925c03_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:eeb27441d51e5fdeb29c788c11c922e7cd4414aa429c6d3070a9b868e0605e03_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:5b80a77ab3d2c0dc2de037d0482a1b760a6d407a58c813b82ac999f16712346d_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:6963ae539a97ede0e00a9e60c8395a55fa0726abf408798b46d22beb9b6b0614_s390x as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:935aa4a4d14226d2b4d45da50e63a4168b2079efbddfe2a739ad20e8b50a4493_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:b9394e740b82d244e324f6143042d8a4cac50e2e926f4a451c7dc0ff95b785b0_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:4be595866fb129abd8e2d57ae9d523809461c3e1ab46db44cb7e7547e6e8273a_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:4f6919ce459c5c9324599bb69be6a1f23fe8f8f94625a0685163555170183164_arm64 as a component of Red Hat OpenShift AI 3.3; and 11 more
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:2bb2dd7720012606878cf627b51b0a578c213f0a7bab293da77fd394f899b68c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:31da636a661576db538dac1f9e20faa7dec811b67b11ba9c22ba09b85a0d0547_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:349b7afc66fc1b42411b9b0b089cb291f3466b5e4f9fc5efcdaef779c14c9ec2_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:fd758fc7e8578930e174518401a8a6bc5a0d5e975ccd10e500719dbbe8695522_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:3d58932e2758a93f9eafe1581071ba86af3d9a51646eef97b8f6aa9442381ec0_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:9d22cb7ad2fb916a4ef21df5e8d425e30ba4126987c664c663e9a0c7c8c44191_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:c01ab60b30d02f598984730edc6cbb8b40bcd01c78efa44688fd5ec992f57a50_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:d6eb02550d96ae57e4e3da5fc2c97d04e03915da3503ce89e8e62ba40337dd6e_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:83294f4da36532bb4ec60345e89b2266fa7db7ddf18c896ecab81b9a94382ca4_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:929f62a082f56562f4f5962aec079ea97012e50644d97ed45cacfc029eb433c0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9@sha256:a66be05a313a9d90338d9e2525cf457698c2032c8fd10074f2c264ef60301ebb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9@sha256:61c02bb05464c792a3602e49e6312798cb59c4c1c57ddcaf130ff25c7752b390_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9@sha256:66b60600846f5b73d140d152d5d25b93585eae35eea8fe4c82561e36a5694201_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9@sha256:befe556164f87749e15a72c234a7592ae73257a08eb065feafd7b202493365b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:70bbd701b998d71acace1c813470f38a9259d4894a99786b31fadb932ad1aeff_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:922a9c86c44e5579bdd7b06ab7c19860a46d62ab44d2dc1283e0b956de37c7dc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:dbf1e1e786eec9b8b0f281b7257d0b1a1821cd13dcbd71e28dd0214b8bb397bd_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:2f4ab0e14df06f0e558bb73eeb2ee7b7bdab3cf013a012aca27580f986642677_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:71338ad87a37ab508b7ae1b34e9a645449493669a305d987c43b024ed1e1d3fc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:cae4b49256f75492270c222d88d9b9fb201095b4276e95b7fc258c10260c81b7_amd64 as a component of Red Hat OpenShift AI 2.25
    After
    rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:2bb2dd7720012606878cf627b51b0a578c213f0a7bab293da77fd394f899b68c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:31da636a661576db538dac1f9e20faa7dec811b67b11ba9c22ba09b85a0d0547_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:349b7afc66fc1b42411b9b0b089cb291f3466b5e4f9fc5efcdaef779c14c9ec2_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:fd758fc7e8578930e174518401a8a6bc5a0d5e975ccd10e500719dbbe8695522_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:3d58932e2758a93f9eafe1581071ba86af3d9a51646eef97b8f6aa9442381ec0_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:9d22cb7ad2fb916a4ef21df5e8d425e30ba4126987c664c663e9a0c7c8c44191_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:c01ab60b30d02f598984730edc6cbb8b40bcd01c78efa44688fd5ec992f57a50_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:d6eb02550d96ae57e4e3da5fc2c97d04e03915da3503ce89e8e62ba40337dd6e_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:83294f4da36532bb4ec60345e89b2266fa7db7ddf18c896ecab81b9a94382ca4_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:929f62a082f56562f4f5962aec079ea97012e50644d97ed45cacfc029eb433c0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9@sha256:a66be05a313a9d90338d9e2525cf457698c2032c8fd10074f2c264ef60301ebb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9@sha256:61c02bb05464c792a3602e49e6312798cb59c4c1c57ddcaf130ff25c7752b390_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9@sha256:66b60600846f5b73d140d152d5d25b93585eae35eea8fe4c82561e36a5694201_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9@sha256:befe556164f87749e15a72c234a7592ae73257a08eb065feafd7b202493365b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:70bbd701b998d71acace1c813470f38a9259d4894a99786b31fadb932ad1aeff_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:922a9c86c44e5579bdd7b06ab7c19860a46d62ab44d2dc1283e0b956de37c7dc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:dbf1e1e786eec9b8b0f281b7257d0b1a1821cd13dcbd71e28dd0214b8bb397bd_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:2f4ab0e14df06f0e558bb73eeb2ee7b7bdab3cf013a012aca27580f986642677_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:71338ad87a37ab508b7ae1b34e9a645449493669a305d987c43b024ed1e1d3fc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:cae4b49256f75492270c222d88d9b9fb201095b4276e95b7fc258c10260c81b7_amd64 as a component of Red Hat OpenShift AI 2.25
    Red Hat Product Security ↗
  3. Affected versionsThe structured affected or fixed version information changed.
    Before
    mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:2bb2dd7720012606878cf627b51b0a578c213f0a7bab293da77fd394f899b68c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:31da636a661576db538dac1f9e20faa7dec811b67b11ba9c22ba09b85a0d0547_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:349b7afc66fc1b42411b9b0b089cb291f3466b5e4f9fc5efcdaef779c14c9ec2_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:fd758fc7e8578930e174518401a8a6bc5a0d5e975ccd10e500719dbbe8695522_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:3d58932e2758a93f9eafe1581071ba86af3d9a51646eef97b8f6aa9442381ec0_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:9d22cb7ad2fb916a4ef21df5e8d425e30ba4126987c664c663e9a0c7c8c44191_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:c01ab60b30d02f598984730edc6cbb8b40bcd01c78efa44688fd5ec992f57a50_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:d6eb02550d96ae57e4e3da5fc2c97d04e03915da3503ce89e8e62ba40337dd6e_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:83294f4da36532bb4ec60345e89b2266fa7db7ddf18c896ecab81b9a94382ca4_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:929f62a082f56562f4f5962aec079ea97012e50644d97ed45cacfc029eb433c0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9@sha256:a66be05a313a9d90338d9e2525cf457698c2032c8fd10074f2c264ef60301ebb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9@sha256:61c02bb05464c792a3602e49e6312798cb59c4c1c57ddcaf130ff25c7752b390_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9@sha256:66b60600846f5b73d140d152d5d25b93585eae35eea8fe4c82561e36a5694201_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9@sha256:befe556164f87749e15a72c234a7592ae73257a08eb065feafd7b202493365b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:70bbd701b998d71acace1c813470f38a9259d4894a99786b31fadb932ad1aeff_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:922a9c86c44e5579bdd7b06ab7c19860a46d62ab44d2dc1283e0b956de37c7dc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:dbf1e1e786eec9b8b0f281b7257d0b1a1821cd13dcbd71e28dd0214b8bb397bd_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:2f4ab0e14df06f0e558bb73eeb2ee7b7bdab3cf013a012aca27580f986642677_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:71338ad87a37ab508b7ae1b34e9a645449493669a305d987c43b024ed1e1d3fc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:cae4b49256f75492270c222d88d9b9fb201095b4276e95b7fc258c10260c81b7_amd64 as a component of Red Hat OpenShift AI 2.25
    After
    rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:2bb2dd7720012606878cf627b51b0a578c213f0a7bab293da77fd394f899b68c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:31da636a661576db538dac1f9e20faa7dec811b67b11ba9c22ba09b85a0d0547_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:349b7afc66fc1b42411b9b0b089cb291f3466b5e4f9fc5efcdaef779c14c9ec2_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:fd758fc7e8578930e174518401a8a6bc5a0d5e975ccd10e500719dbbe8695522_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:3d58932e2758a93f9eafe1581071ba86af3d9a51646eef97b8f6aa9442381ec0_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:9d22cb7ad2fb916a4ef21df5e8d425e30ba4126987c664c663e9a0c7c8c44191_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:c01ab60b30d02f598984730edc6cbb8b40bcd01c78efa44688fd5ec992f57a50_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:d6eb02550d96ae57e4e3da5fc2c97d04e03915da3503ce89e8e62ba40337dd6e_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:83294f4da36532bb4ec60345e89b2266fa7db7ddf18c896ecab81b9a94382ca4_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:929f62a082f56562f4f5962aec079ea97012e50644d97ed45cacfc029eb433c0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9@sha256:a66be05a313a9d90338d9e2525cf457698c2032c8fd10074f2c264ef60301ebb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9@sha256:61c02bb05464c792a3602e49e6312798cb59c4c1c57ddcaf130ff25c7752b390_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9@sha256:66b60600846f5b73d140d152d5d25b93585eae35eea8fe4c82561e36a5694201_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9@sha256:befe556164f87749e15a72c234a7592ae73257a08eb065feafd7b202493365b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:70bbd701b998d71acace1c813470f38a9259d4894a99786b31fadb932ad1aeff_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:922a9c86c44e5579bdd7b06ab7c19860a46d62ab44d2dc1283e0b956de37c7dc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:dbf1e1e786eec9b8b0f281b7257d0b1a1821cd13dcbd71e28dd0214b8bb397bd_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:2f4ab0e14df06f0e558bb73eeb2ee7b7bdab3cf013a012aca27580f986642677_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:71338ad87a37ab508b7ae1b34e9a645449493669a305d987c43b024ed1e1d3fc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:cae4b49256f75492270c222d88d9b9fb201095b4276e95b7fc258c10260c81b7_amd64 as a component of Red Hat OpenShift AI 2.25
    Red Hat Product Security ↗
  4. Affected versionsThe structured affected or fixed version information changed.
    Before
    jupyterlab: >= 3.3.0, < 4.5.10, >= 4.6.0, < 4.6.2 · Fixed: No fixed version is explicitly recorded in the structured CVE data.
    After
    jupyterlab: >= 3.3.0, < 4.5.10, >= 4.6.0, < 4.6.2 · 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 ↗
  5. Remediation statusRemediation status changed from Awaiting fix to Patch available.
    Before
    Awaiting fix
    After
    Patch available
    Red Hat Product Security ↗
  6. Vendor guidanceAuthoritative vendor guidance changed from remediation: access.redhat.com/CVE-2026-73417 to remediation: access.redhat.com/CVE-2026-73417.
    Before
    remediation: access.redhat.com/CVE-2026-73417
    After
    remediation: access.redhat.com/CVE-2026-73417
    Red Hat Product Security ↗
  7. Remediation statusRemediation status changed from Awaiting fix to Patch available.
    Before
    Awaiting fix
    After
    Patch available
    Red Hat Product Security ↗
  8. Affected versionsThe structured affected or fixed version information changed.
    Before
    mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
    After
    mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhoai/odh-feature-server-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-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:2bb2dd7720012606878cf627b51b0a578c213f0a7bab293da77fd394f899b68c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:31da636a661576db538dac1f9e20faa7dec811b67b11ba9c22ba09b85a0d0547_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:349b7afc66fc1b42411b9b0b089cb291f3466b5e4f9fc5efcdaef779c14c9ec2_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9@sha256:fd758fc7e8578930e174518401a8a6bc5a0d5e975ccd10e500719dbbe8695522_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:3d58932e2758a93f9eafe1581071ba86af3d9a51646eef97b8f6aa9442381ec0_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:9d22cb7ad2fb916a4ef21df5e8d425e30ba4126987c664c663e9a0c7c8c44191_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:c01ab60b30d02f598984730edc6cbb8b40bcd01c78efa44688fd5ec992f57a50_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9@sha256:d6eb02550d96ae57e4e3da5fc2c97d04e03915da3503ce89e8e62ba40337dd6e_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:83294f4da36532bb4ec60345e89b2266fa7db7ddf18c896ecab81b9a94382ca4_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9@sha256:929f62a082f56562f4f5962aec079ea97012e50644d97ed45cacfc029eb433c0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9@sha256:a66be05a313a9d90338d9e2525cf457698c2032c8fd10074f2c264ef60301ebb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9@sha256:61c02bb05464c792a3602e49e6312798cb59c4c1c57ddcaf130ff25c7752b390_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9@sha256:66b60600846f5b73d140d152d5d25b93585eae35eea8fe4c82561e36a5694201_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9@sha256:befe556164f87749e15a72c234a7592ae73257a08eb065feafd7b202493365b7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:70bbd701b998d71acace1c813470f38a9259d4894a99786b31fadb932ad1aeff_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:922a9c86c44e5579bdd7b06ab7c19860a46d62ab44d2dc1283e0b956de37c7dc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:dbf1e1e786eec9b8b0f281b7257d0b1a1821cd13dcbd71e28dd0214b8bb397bd_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:2f4ab0e14df06f0e558bb73eeb2ee7b7bdab3cf013a012aca27580f986642677_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:71338ad87a37ab508b7ae1b34e9a645449493669a305d987c43b024ed1e1d3fc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:cae4b49256f75492270c222d88d9b9fb201095b4276e95b7fc258c10260c81b7_amd64 as a component of Red Hat OpenShift AI 2.25
    Red Hat Product Security ↗
  9. Affected versionsThe structured affected or fixed version information changed.
    Before
    >= 3.3.0, < 4.5.10; >= 4.6.0, < 4.6.2 · Fixed: No fixed version is explicitly recorded in the structured CVE data.
    After
    jupyterlab: >= 3.3.0, < 4.5.10, >= 4.6.0, < 4.6.2 · Fixed: No fixed version is explicitly recorded in the structured CVE data.
    CNA ↗
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
Fixed release recorded from official guidance
Fixed release recorded from official guidance
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-2026-73417 · cve.blacktree.nl