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advisories/github-reviewed/2026/03/GHSA-r23q-823p-vmf7/GHSA-r23q-823p-vmf7.json

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{
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"schema_version": "1.4.0",
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"id": "GHSA-r23q-823p-vmf7",
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"modified": "2026-04-01T00:08:33Z",
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"modified": "2026-04-01T19:08:35Z",
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"published": "2026-03-30T09:31:28Z",
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"aliases": [
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"CVE-2025-15379"
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],
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"summary": "MLflow Command Injection vulnerability",
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"details": "A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.",
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"details": "A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.1.",
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"severity": [
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{
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"type": "CVSS_V3",
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"introduced": "0"
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},
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{
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"fixed": "3.9.0rc0"
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"fixed": "3.8.1"
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}
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]
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}
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"type": "WEB",
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"url": "https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e"
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},
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{
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"type": "WEB",
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"url": "https://github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205"
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},
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{
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"type": "PACKAGE",
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"url": "https://github.com/mlflow/mlflow"

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