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CVE-2026-116690EUVD-2026-111362GHSA-M65P-9J7Q-6W33

MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

Published
Last modified
published
Not listed in CISA KEV
Fix
Fixed in 3.17.0
None on Exploit-DB, Metasploit or GitHub
  • Exploitation: none
  • Automatable: yes
  • Technical impact: partial

Summary

MLflow versions from 3.10.0 through 3.17.0 are affected. An unauthenticated remote attacker can read arbitrary files that the MLflow server process can access, and on basic-auth deployments any user who can create registered models can do the same.

Summarized by anthropic/claude-haiku-5.5. Verify details against the original sources.

Read the original 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.

Timeline

  1. CVE published
  2. First seen by cve.now
  3. CISA SSVC assessment

    Exploitation: none · Automatable: yes · Technical impact: partial

  4. Record last updated

Affected versions

  • mlflow mlflow

    From 3.10.0 · fixed in 3.17.0

  • mlflowPyPI

    From 3.10.0 · fixed in 3.17.0

References 4

GitHub · mlflow/mlflow