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.
{
"cna_assigner": "@huntr_ai",
"cwe_ids": [
"CWE-77"
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/15xxx/CVE-2025-15379.json",
"unresolved_ranges": [
{
"extracted_events": [
{
"range": [
{
"fixed": "3.8.2"
}
],
"source": "AFFECTED_FIELD",
"strategy": "SplitRange"
}
]
},
{
"extracted_events": [
{
"range": [
{
"fixed": "3.8.2"
}
],
"source": "DESCRIPTION"
}
]
}
]
}{
"extracted_events": [
{
"cpe": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "3.8.0"
},
{
"fixed": "3.8.1"
}
],
"source": "CPE_RANGE"
},
{
"range": [
{
"fixed": "361b6f620adf98385c6721e384fb5ef9a30bb05e"
}
],
"source": "REFERENCES_COMMIT"
}
]
}