GitPython before 3.1.53 fails to properly escape section names in git config files, allowing attackers to inject arbitrary configuration directives through malicious submodule names. Attackers can inject core.sshCommand or other dangerous config keys into the victims .git/config via create_submodule or clone_from operations, achieving remote code execution when git performs ssh operations.
Weakness
The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
Affected Software
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Gitpython | Gitpython_project | * | 3.1.53 (excluding) |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-feature-server-rhel9:1792148523 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1792563127 | * |
| Red Hat OpenShift AI 3.4 | RedHat | rhoai/odh-th06-cpu-torch210-py312-rhel9:1791874335 | * |
| Red Hat OpenShift AI 3.4 | RedHat | rhoai/odh-th06-cuda130-torch210-py312-rhel9:1791961113 | * |
| Red Hat OpenShift AI 3.4 | RedHat | rhoai/odh-th06-rocm64-torch291-py312-rhel9:1791872119 | * |
| Red Hat OpenShift AI 3.4 | RedHat | rhoai/odh-training-cuda128-torch29-py312-rhel9:1791786619 | * |
| Red Hat OpenShift AI 3.4 | RedHat | rhoai/odh-trustyai-nemo-guardrails-server-rhel9:1791556128 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9:1791952873 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9:1791816462 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9:1791816487 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9:1791951049 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9:1791951047 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9:1791950760 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-th-torch-cpu-py312-rhel9:1791926611 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-th-torch-cuda-py312-rhel9:1791927642 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-th-torch-rocm-py312-rhel9:1791925861 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-training-cuda128-torch29-py312-rhel9:1791927231 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9:1791825469 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1791903880 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1791572098 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1791572144 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1791572102 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1791817064 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9:1791817844 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1791816223 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1791899290 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1791816175 | * |
| Red Hat OpenShift AI 3.5 | RedHat | rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1791816316 | * |
Potential Mitigations
Related Attack Patterns
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