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Advisory severityCritical9.0Vendor: HighRed Hat Linux

Critical [CVE-2026-44727] Remote Code Execution via stored Cross-Site Scripting in nbconvert handlers

This critical-severity Red Hat Linux advisory covers CVE-2026-44727 affecting Red Hat Migration Toolkit for Applications 8.2, Red Hat OpenShift AI 3.3, Red Hat OpenShift AI 3.4.

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

CVE-2026-44727 Source published Source updated

VulniPulse record published Record updated

CVE-2026-44727
Affected products & platforms
Red Hat LinuxUnclassified
Open source advisory

Summary

Jupyter Server is the backend for Jupyter web applications. Prior to 2.20, the nbconvert HTTP handlers in jupyter_server render user-authored notebook HTML under the Jupyter origin without a sandbox directive in their Content-Security-Policy.

Combined with nbconvert.HTMLExporter's default non-sanitizing behavior, a notebook carrying an HTML payload in a display_data output triggers stored XSS with cookie access, full /api/* authority, and kernel RCE. This vulnerability is fixed in 2.20.

A flaw was found in Jupyter Server. A remote attacker could exploit this to gain cookie access, full API authority, and achieve kernel Remote Code Execution (RCE).

Red Hat severity: Important — CVSS 9 (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H). Weakness: CWE-79.

Affected Red Hat products: Red Hat Migration Toolkit for Applications 8.2; Red Hat OpenShift AI 3.3; Red Hat OpenShift AI 3.4. Red Hat lists Red Hat OpenShift AI (RHOAI) as not affected.

Red Hat fixing advisory: RHSA-2026:43038, RHSA-2026:73987, RHSA-2026:60520.

Is CVE-2026-44727 exploited?

No exploitation is reported in the sources VulniPulse tracks: CVE-2026-44727 is not in the CISA KEV catalog (checked ) and this advisory does not report exploitation. That is not proof the vulnerability cannot be exploited.

How do I fix CVE-2026-44727?

Upgrade to a fixed release named by Red Hat:

  • 2.20
  • mta/mta-solution-server-rhel9:1784109883
  • rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1790331087
  • rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1790260954
  • rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1790072130
  • rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1790072109
  • rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1789651387
  • rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9:1789651389
  • rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1789651385
  • rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1790077488
  • rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1789983680
  • rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1790260954

15 more fixed releases are listed below.

Confirm against the vendor advisory before you patch.

Affected versions
  • < 2.20

Official advisory · high-confidence parse· fetched 17 days ago·verify at source

Fixed versions
  • 2.20
  • mta/mta-solution-server-rhel9:1784109883
  • rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1790331087
  • rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1790260954
  • rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1790072130
  • rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1790072109
  • rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1789651387
  • rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9:1789651389
  • rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1789651385
  • rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1790077488
  • rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1789983680
  • rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1790260954
  • rhoai/odh-th06-cpu-torch210-py312-rhel9:1787076778
  • rhoai/odh-th06-cuda130-torch210-py312-rhel9:1787077779
  • rhoai/odh-th06-rocm64-torch291-py312-rhel9:1787076481
  • rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1787074331
  • rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1787073913
  • rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1787074078
  • rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1787073929
  • rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1787073605
  • rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1787073546
  • rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1787073717
  • rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1787073713
  • rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1787073593
  • RHSA-2026:43038
  • RHSA-2026:73987
  • RHSA-2026:60520

Official advisory · high-confidence parse· fetched 17 days ago·verify at source

Mitigation

Upgrade to a fixed release: 2.20, mta/mta-solution-server-rhel9:1784109883, rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1790331087, rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1790260954, rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1790072130, rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1790072109. That is the remediation for this advisory.

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

Official advisory · high-confidence parse· fetched 17 days ago·verify at source

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