CVE-2024-27133: Mlflow Remote Code Execution Vulnerability

CRITICAL
Advisory Identifier: GHSA-3v79-q7ph-j75h
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CVSS 9.6
CWE-79
Published
Advisory Summary

CVE-2024-27133 is a CRITICAL (CVSS 9.6) remote code execution vulnerability (CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')) affecting Mlflow libraries in the PyPI ecosystem. The issue involves mlflow cross-site scripting vulnerability leads to client-side remote code execution. Remediation is available by upgrading affected packages to version 2.10.0.

CVE-2024-27133 at a Glance

CVE Identifier CVE-2024-27133
GHSA Identifier GHSA-3v79-q7ph-j75h
Severity CRITICAL
CVSS v3.1 Base Score 9.6
CWE Classification CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Affected Product Mlflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 9.6

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:C/C:H/I:H/A:H).

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

How to Fix CVE-2024-27133

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: 2.10.0 
pip install mlflow>=2.10.0
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-2024-27133, 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 2.10.0), 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-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'), where the product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. 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

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

CVE-2024-27133 Affected Mlflow Versions

1 component(s)
Fixed Versions:
2.10.0
Product / Package Ecosystem Affected Versions Fixed Version
mlflow
pypi/mlflow
PyPI
< 2.10.0
2.10.0

References

NVD — CVE-2024-27133 NVD
https://nvd.nist.gov/vuln/detail/CVE-2024-27133
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow/pull/10893
Security Fix Commit FIX COMMIT
https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b
Security Fix Commit FIX COMMIT
https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow
Mlflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml
research.jfrog.com/vulnerabilities/mlf... WEB
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932

Frequently Asked Questions

What is CVE-2024-27133?
CVE-2024-27133 is a security vulnerability in Mlflow involving MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution under CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting').
Which Mlflow versions are affected?
Affected versions include releases prior to 2.10.0 across affected packages: mlflow.
What version fixes CVE-2024-27133?
Upgrading to 2.10.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is mlflow affected?
Yes, mlflow is affected in releases prior to 2.10.0. Upgrade your dependency to 2.10.0 or later.
What is the CVSS score of CVE-2024-27133?
CVE-2024-27133 has a CVSS v3.1 base score of 9.6 (CRITICAL) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H.
What CWE is associated with CVE-2024-27133?
CVE-2024-27133 is classified under CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') (The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.).
How can I check PyPI dependencies for CVE-2024-27133?
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-3v79-q7ph-j75h",
  "modified" : "2025-04-08T21:59:06Z",
  "published" : "2024-02-24T00:30:20Z",
  "aliases" : [ "CVE-2024-27133" ],
  "summary" : "MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution",
  "details" : "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "mlflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.10.0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2024-27133"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/pull/10893"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mlflow/mlflow"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml"
  }, {
    "type" : "WEB",
    "url" : "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-79" ],
    "severity" : "CRITICAL",
    "github_reviewed" : true,
    "github_reviewed_at" : "2024-02-27T21:57:34Z",
    "nvd_published_at" : "2024-02-23T22:15:55Z"
  }
}