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VulniPulse
Advisory severityHigh7.5Red Hat Linux

High [CVE-2026-73623] Remote Code Execution via malicious Git template

This high-severity Red Hat Linux advisory covers CVE-2026-73623 affecting Red Hat Satellite 6.19 for RHEL 9, Red Hat OpenShift AI 2.25, Exploit Intelligence.

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

CVE-2026-73623 Source published Source updated

VulniPulse record published Record updated

Affected products & platforms
Red Hat LinuxUnclassified
Open source advisory

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Summary

GitPython before 3.1.54 contains an incomplete denylist in unsafe_git_clone_options that omits --template, allowing attackers to achieve arbitrary command execution during clone operations. Attackers can supply --template pointing to a directory containing malicious post-checkout hooks that execute when git clones the repository.

A flaw was found in GitPython. An incomplete denylist in the `unsafe_git_clone_options` function fails to restrict the `--template` option.

This allows a remote attacker to supply a malicious Git template directory, leading to arbitrary command execution during clone operations. This is an Important severity flaw in GitPython where an incomplete denylist in `unsafe_git_clone_options` allows remote code execution.

This risk is present when applications using GitPython clone untrusted repositories. Red Hat severity: Important — CVSS 7.5 (CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H).

Weakness: CWE-78. Affected Red Hat products: Red Hat Satellite 6.19 for RHEL 9; Red Hat OpenShift AI 2.25; Exploit Intelligence; Migration Toolkit for Applications 8; Red Hat AI Inference Server; Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI); Red Hat Satellite 6.

Affected versions
  • < 3.1.54

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

Fixed versions
  • python3.12-gitpython-0:3.1.59-1.el9pc
  • 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-2026:63385
  • RHSA-2026:65126

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

Mitigation

Upgrade to a fixed release: python3.12-gitpython-0:3.1.59-1.el9pc, 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. 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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