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Vulnerability record/PUBLISHED/Published Oct 27, 2026 19:42:35 UTC

CVE-2026-116690

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.

Base score7.5/ 10
SeverityHighCVSS 3.1

Exploitability / impact

CVSS metric breakdown

Vector-derived attributes
Base severityHigh
Attack vectorNetworkAV
Attack complexityLowAC
Privileges requiredNonePR
User interactionNoneUI
ScopeUnchangedS
Confidentiality impactHighC
Integrity impactNoneI
Availability impactNoneA
CVSS vector stringCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

CVSS communicates standardized severity and impact characteristics. It does not establish whether a system is exploitable in your specific environment.

Record context

CVE Numbering AuthorityGitHub_M
Last updatedOct 27, 2026 19:42:35 UTC
PublishedOct 27, 2026 19:42:35 UTC
ReservedOct 26, 2026 20:00:59 UTC