CVE-2025-15381: Mlflow MLFlow Allows Tracing + Assessments Vulnerability

HIGH
Advisory Identifier: GHSA-g6pg-52vf-843h
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CVSS 8.1
CWE-200
Published
Advisory Summary

CVE-2025-15381 is a HIGH (CVSS 8.1) mlflow allows tracing + assessments vulnerability (CWE-200: Exposure of Sensitive Information to an Unauthorized Actor) affecting Mlflow libraries in the PyPI ecosystem. The issue involves mlflow allows tracing + assessments access. Remediation is available in the latest vendor maintenance releases.

CVE-2025-15381 at a Glance

CVE Identifier CVE-2025-15381
GHSA Identifier GHSA-g6pg-52vf-843h
Severity HIGH
CVSS v3.1 Base Score 8.1
CWE Classification CWE-200: Exposure of Sensitive Information to an Unauthorized Actor
Affected Product Mlflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 8.1

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required Low (PR:L)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity High (I:H)
Availability None (A:N)

How to Fix CVE-2025-15381

To remediate this vulnerability, upgrade all affected Mlflow dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

mlflow fixed: Latest secure release 
pip install mlflow>=Latest secure release
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show mlflow

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-15381, inspect your installed packages using pip:

pip show mlflow

Analyze the terminal output to locate any version of Mlflow in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.

Note: The pip show mlflow command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-200: Exposure of Sensitive Information to an Unauthorized Actor, where the product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. In Mlflow, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.

CVE-2025-15381 Affected Mlflow Versions

1 component(s)
Product / Package Ecosystem Affected Versions Fixed Version
mlflow
pypi/mlflow
PyPI
≤ 3.8.1

References

NVD — CVE-2025-15381 NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-15381
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow/blob/b569ebc74c14af593c326143bee2df44a5d59edf/mlflow/server/auth/__init__.py#L752
huntr.com/bounties/149fb2f9-e... WEB
https://huntr.com/bounties/149fb2f9-ef4b-4136-a25c-20563451904c

Frequently Asked Questions

What is CVE-2025-15381?
CVE-2025-15381 is a security vulnerability in Mlflow involving MLFlow allows Tracing + Assessments Access under CWE-200: Exposure of Sensitive Information to an Unauthorized Actor.
Which Mlflow versions are affected?
Affected versions include releases prior to current release patches across affected packages: mlflow.
What version fixes CVE-2025-15381?
Upgrading to current release patches (or the latest patched release for your respective branch) resolves the vulnerability.
Is mlflow affected?
Yes, mlflow is affected in releases prior to Latest secure release. Upgrade your dependency to Latest secure release or later.
What is the CVSS score of CVE-2025-15381?
CVE-2025-15381 has a CVSS v3.1 base score of 8.1 (HIGH) with vector string CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N.
What CWE is associated with CVE-2025-15381?
CVE-2025-15381 is classified under CWE-200: Exposure of Sensitive Information to an Unauthorized Actor (The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.).
How can I check PyPI dependencies for CVE-2025-15381?
Run the dependency tree command: 'pip show mlflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-g6pg-52vf-843h",
  "modified" : "2026-03-31T23:13:28Z",
  "published" : "2026-03-27T18:31:27Z",
  "aliases" : [ "CVE-2025-15381" ],
  "summary" : "MLFlow allows Tracing + Assessments Access",
  "details" : "In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "mlflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "last_affected" : "3.8.1"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-15381"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mlflow/mlflow"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/blob/b569ebc74c14af593c326143bee2df44a5d59edf/mlflow/server/auth/__init__.py#L752"
  }, {
    "type" : "WEB",
    "url" : "https://huntr.com/bounties/149fb2f9-ef4b-4136-a25c-20563451904c"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-200" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2026-03-31T23:13:28Z",
    "nvd_published_at" : "2026-03-27T17:16:26Z"
  }
}