7.5

CVE-2026-116690: MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

Received
AliasesGHSA-m65p-9j7q-6w33
Published 27-10-2026Last modified 27-10-2026

Vulnerability summary

CVE-2026-116690 is a high (CVSS 7.5) Path Traversal vulnerability in mlflow.

Overall risk
30/100
0100
Medium · default modelHow is this calculated?
CVSS score
7.5/10
010
High · v3.1 (CVE.org)
EPSS scoreNot scoredRisk metrics not yet published.
KEVNot listedNot listed by any tracked catalog.
RansomwareNot flaggedNo ransomware use recorded.
Public exploits0No public exploits recorded

Timeline

  1. 27-10-2026
    PublishedVulnerability first disclosed.

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.

CVSS metrics

3 scores · 3 sources · 1 version

EPSS trend

No EPSS score has been published for this record yet.

Known exploited

Compare KEV catalogs
CISA KEV

Not in the CISA KEV catalog.

ENISA CNW

Not in the ENISA CNW catalog.

CIRCL

Not in the CIRCL catalog.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

Mlflow1 product
PyPI1 product
  • mlflow≥ 3.10.0, < 3.17.0

2 vendors · 2 products

References

5 links