CVE-2025-0453: Mlflow Remote Code Execution Vulnerability

MODERATE
Advisory Identifier: GHSA-49m6-vrr9-2cqm
CVSS 5.9
CWE-400 CWE-410
Published
Advisory Summary

CVE-2025-0453 is a MODERATE (CVSS 5.9) remote code execution vulnerability (CWE-400: Uncontrolled Resource Consumption) affecting Mlflow libraries in the PyPI ecosystem. The issue involves mlflow uncontrolled resource consumption vulnerability. Remediation is available in the latest vendor maintenance releases.

CVE-2025-0453 at a Glance

CVE Identifier CVE-2025-0453
GHSA Identifier GHSA-49m6-vrr9-2cqm
Severity MODERATE
CVSS v3.1 Base Score 5.9
CWE Classification CWE-400: Uncontrolled Resource Consumption
Affected Product Mlflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 5.9

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

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

How to Fix CVE-2025-0453

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-2025-0453, 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-400: Uncontrolled Resource Consumption, where the product does not properly control the allocation and maintenance of a limited resource. 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 mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.

CVE-2025-0453 Affected Mlflow Versions

1 component(s)
Product / Package Ecosystem Affected Versions Fixed Version
mlflow
PyPI
≤ 2.17.2

References

Frequently Asked Questions

What is CVE-2025-0453?
CVE-2025-0453 is a security vulnerability in Mlflow involving MLflow Uncontrolled Resource Consumption vulnerability under CWE-400: Uncontrolled Resource Consumption.
Which Mlflow versions are affected?
Affected versions include releases prior to current release patches across affected packages: mlflow.
What version fixes CVE-2025-0453?
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-2025-0453?
CVE-2025-0453 has a CVSS v3.1 base score of 5.9 (MODERATE) with vector string CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H.
What CWE is associated with CVE-2025-0453?
CVE-2025-0453 is classified under CWE-400: Uncontrolled Resource Consumption (The product does not properly control the allocation and maintenance of a limited resource.).
How can I check PyPI dependencies for CVE-2025-0453?
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
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-49m6-vrr9-2cqm",
  "modified" : "2025-03-21T23:50:45Z",
  "published" : "2025-03-20T12:32:52Z",
  "aliases" : [ "CVE-2025-0453" ],
  "summary" : "MLflow Uncontrolled Resource Consumption vulnerability",
  "details" : "In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "mlflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "last_affected" : "2.17.2"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-0453"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mlflow/mlflow"
  }, {
    "type" : "WEB",
    "url" : "https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612b"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-400", "CWE-410" ],
    "severity" : "MODERATE",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-03-21T23:50:45Z",
    "nvd_published_at" : "2025-03-20T10:15:53Z"
  }
}