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Review reviewHigh

CVE-2026-2614

mlflow mlflow/mlflow, Red Hat OpenShift AI 3.3, Red Hat OpenShift AI 3.4

A vulnerability in the `_create_model_version()` handler of `mlflow/server/handlers.py` in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue arises when a `CreateModelVersion` request includes the tag `mlflow.prompt.is_prompt`, which bypasses source path validation. This enables an attacker to store an arbitrary local filesystem path as the model version source. The `get_model_version_artifact_handler()` function later uses this source to serve files without verifying the model version's prompt...

CVSS
7.5
EPSS
0.71%
50.0% percentile
CISA KEV
Not listed
Published
2026.05.12
PRIORITY ASSESSMENT

Review review

The CVSS severity warrants an early asset and exposure review.

Known exploitationNot established by KEV
Exploit probability0.71%
Technical severityCVSS 7.5

Vulnerability overview

A vulnerability in the `_create_model_version()` handler of `mlflow/server/handlers.py` in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue arises when a `CreateModelVersion` request includes the tag `mlflow.prompt.is_prompt`, which bypasses source path validation. This enables an attacker to store an arbitrary local filesystem path as the model version source. The `get_model_version_artifact_handler()` function later uses this source to serve files without verifying the model version's prompt...

Affected product and versions

Product
mlflow mlflow/mlflow, Red Hat OpenShift AI 3.3, Red Hat OpenShift AI 3.4
Affected versions
>= unspecified < 3.10.0, < 3.10.0
Fixed versions
3.10.0

Recommended response sequence

Confirm exposure before applying a vendor-supported change.

Full remediation guide
  1. 1
    Identify

    Confirm that mlflow mlflow/mlflow, Red Hat OpenShift AI 3.3, Red Hat OpenShift AI 3.4 and an affected version are present.

  2. 2
    Prioritize

    Combine exploitation signals with asset exposure and business criticality.

  3. 3
    Remediate

    Follow the vendor advisory or supported update path and preserve rollback options.

  4. 4
    Verify

    Recheck the version, service health, access paths, and relevant logs.

Technical data

CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CWE
CWE-22
CVE-2026-2614 — mlflow mlflow/mlflow, Red Hat OpenShift AI 3.3, Red Hat OpenShift AI 3.4 | SECUFOCUS NOW