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Advisory severityHigh8.0Red Hat Linux

High [CVE-2026-73415] Arbitrary code execution via malicious image in image viewer

This high-severity Red Hat Linux advisory covers CVE-2026-73415 affecting Red Hat OpenShift AI 2.25, Migration Toolkit for Applications 8, Red Hat OpenShift AI (RHOAI).

Aggregated and source-linked by VulniPulse. Data sources, validation and limitations.

CVE-2026-73415 Source published Source updated

VulniPulse record published Record updated

CVE-2026-73415
Affected products & platforms
Red Hat LinuxUnclassified
Open source advisory

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Summary

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture.

Prior to 4.5.10 and 4.6.2, in packages/imageviewer/src/widget.ts, JupyterLab's ImageViewer uses URL.createObjectURL for a specially crafted SVG image and revokes the blob URL too early, allowing the image to retain an executable same-origin context when it is opened through the image viewer and then opened in a new browser tab.

The resulting cross-site scripting can be used to execute arbitrary code on the JupyterLab server. This issue is fixed in versions 4.5.10 and 4.6.2.

A flaw was found in JupyterLab. This allows a remote attacker to exploit a cross-site scripting (XSS) vulnerability when a malicious image is opened through the image viewer and subsequently in a new browser tab.

Successful exploitation could lead to arbitrary code execution on the JupyterLab server. Red Hat severity: Important — CVSS 8 (CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:H).

Weakness: CWE-911. Affected Red Hat products: Red Hat OpenShift AI 2.25; Migration Toolkit for Applications 8; Red Hat OpenShift AI (RHOAI).

Red Hat fixing advisory: RHSA-2026:65126.

Affected versions
  • < 4.5.10
  • < 4.6.2

Official advisory · high-confidence parse· fetched 27 days ago·verify at source

Fixed versions
  • 4.5.10
  • 4.6.2
  • 4.7.0
  • rhoai/odh-feature-server-rhel9:1787315684
  • rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1788315638
  • rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1788185839
  • rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1788185798
  • rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1788185733
  • rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1788185436
  • rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9:1788185842
  • rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1788185848
  • rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1788186007
  • rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1788185846
  • rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1788185899
  • RHSA-2026:65126

Official advisory · high-confidence parse· fetched 27 days ago·verify at source

Mitigation

Upgrade to a fixed release: 4.5.10, 4.6.2, 4.7.0, rhoai/odh-feature-server-rhel9:1787315684, rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1788315638, rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1788185839. That is the remediation for this advisory.

The vendor advisory may list additional interim mitigations or workarounds not captured here — review it before change work.

Official advisory · high-confidence parse· fetched 27 days ago·verify at source

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