CVE-2025-1473: Mlflow MLflow Cross-Site Request Forgery (CSRF) Vulnerability

MODERATE
Advisory Identifier: GHSA-969w-gqqr-g6j3
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CVSS 5.4
CWE-352
Published
Advisory Summary

CVE-2025-1473 is a MODERATE (CVSS 5.4) mlflow cross-site request forgery (csrf) vulnerability (CWE-352: Cross-Site Request Forgery (CSRF)) affecting Mlflow libraries in the PyPI ecosystem. The issue involves mlflow cross-site request forgery (csrf) vulnerability. Remediation is available by upgrading affected packages to version 2.20.3.

CVE-2025-1473 at a Glance

CVE Identifier CVE-2025-1473
GHSA Identifier GHSA-969w-gqqr-g6j3
Severity MODERATE
CVSS v3.1 Base Score 5.4
CWE Classification CWE-352: Cross-Site Request Forgery (CSRF)
Affected Product Mlflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 5.4

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N).

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

How to Fix CVE-2025-1473

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: 2.20.3 
pip install mlflow>=2.20.3
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-2025-1473, 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 2.20.3), 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-352: Cross-Site Request Forgery (CSRF), where the web application does not, or cannot, sufficiently verify whether a request was intentionally provided by the user who sent the request, which could have originated from an unauthorized actor. 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

A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.

CVE-2025-1473 Affected Mlflow Versions

1 component(s)
Fixed Versions:
2.20.3
Product / Package Ecosystem Affected Versions Fixed Version
mlflow
pypi/mlflow
PyPI
≥ 2.17.0
< 2.20.3
2.20.3

References

NVD — CVE-2025-1473 NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-1473
Security Fix Commit FIX COMMIT
https://github.com/mlflow/mlflow/commit/ecfa61cb43d3303589f3b5834fd95991c9706628
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow
huntr.com/bounties/43dc50b6-7... WEB
https://huntr.com/bounties/43dc50b6-7d1e-41b9-9f97-f28809df1d45

Frequently Asked Questions

What is CVE-2025-1473?
CVE-2025-1473 is a security vulnerability in Mlflow involving MLflow Cross-Site Request Forgery (CSRF) vulnerability under CWE-352: Cross-Site Request Forgery (CSRF).
Which Mlflow versions are affected?
Affected versions include releases prior to 2.20.3 across affected packages: mlflow.
What version fixes CVE-2025-1473?
Upgrading to 2.20.3 (or the latest patched release for your respective branch) resolves the vulnerability.
Is mlflow affected?
Yes, mlflow is affected in releases prior to 2.20.3. Upgrade your dependency to 2.20.3 or later.
What is the CVSS score of CVE-2025-1473?
CVE-2025-1473 has a CVSS v3.1 base score of 5.4 (MODERATE) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N.
What CWE is associated with CVE-2025-1473?
CVE-2025-1473 is classified under CWE-352: Cross-Site Request Forgery (CSRF) (The web application does not, or cannot, sufficiently verify whether a request was intentionally provided by the user who sent the request, which could have originated from an unauthorized actor.).
How can I check PyPI dependencies for CVE-2025-1473?
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-969w-gqqr-g6j3",
  "modified" : "2025-08-05T18:52:42Z",
  "published" : "2025-03-20T12:32:53Z",
  "aliases" : [ "CVE-2025-1473" ],
  "summary" : "MLflow Cross-Site Request Forgery (CSRF) vulnerability",
  "details" : "A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "mlflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "2.17.0"
      }, {
        "fixed" : "2.20.3"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-1473"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/commit/ecfa61cb43d3303589f3b5834fd95991c9706628"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mlflow/mlflow"
  }, {
    "type" : "WEB",
    "url" : "https://huntr.com/bounties/43dc50b6-7d1e-41b9-9f97-f28809df1d45"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-352" ],
    "severity" : "MODERATE",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-03-21T23:38:57Z",
    "nvd_published_at" : "2025-03-20T10:15:53Z"
  }
}