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CVE-2026-116690 MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

Description

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.

Produits et versions touchés

Produit Versions touchées Corrigé en
MLflow 3.10 3.10.0 → < 3.17.0 3.17.0

Références

Chronologie

  1. Publiée
  2. Dernière modification

Autres CVE de MLflow

Les 38 CVE de MLflow →
CVE-2026-118628 MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability 8.2 Élevée CVE-2026-118627 MLflow SHAP load_explainer Deserialization of Untrusted Data Remote Code Execution Vulnerability 7.8 Élevée CVE-2026-118626 MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability 5.4 Moyenne CVE-2026-118625 MLflow Tracking Server Missing Authorization Privilege Escalation Vulnerability 6.3 Moyenne
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