MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in _create_model_version() accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and mlflow.prompt.is_prompt is interpreted by tag presence rather than a true value. A remote caller can store a server-local path as the model version artifact location and use /api/2.0/mlflow/model-versions/get-artifact to read files accessible to the MLflow server process. Default unauthenticated servers require no privileges, while basic-auth deployments are exposed to authenticated users who can create registered models. This issue is fixed in version 3.17.0.
{
"cna_assigner": "GitHub_M",
"cwe_ids": [
"CWE-22"
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/116xxx/CVE-2026-116690.json"
}{
"extracted_events": [
{
"range": [
{
"introduced": "3.10.0"
},
{
"fixed": "3.17.0"
}
],
"source": "AFFECTED_FIELD",
"strategy": "StringRangeExpression"
},
{
"range": [
{
"fixed": "81730a2ce4ebcd60d5d18f68c96f422ad7e30772"
}
],
"source": "REFERENCES_COMMIT"
},
{
"original_tag": "v3.17.0",
"range": [
{
"fixed": "6dd94c6de2932d22767769eec5b644e48c457ce8"
}
],
"source": "REFERENCES_TAG"
}
]
}