CVE-2023-4033: Mlflow Mlflow Vulnerable To OS Command Vulnerability

HIGH
Advisory Identifier: GHSA-ffw3-6378-cqgp
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CVSS 8.8
CWE-78
Published
Advisory Summary

CVE-2023-4033 is a HIGH (CVSS 8.8) mlflow vulnerable to os command vulnerability (CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')) affecting Mlflow libraries in the PyPI ecosystem. The issue involves mlflow vulnerable to os command injection. Remediation is available by upgrading affected packages to version 2.6.0.

CVE-2023-4033 at a Glance

CVE Identifier CVE-2023-4033
GHSA Identifier GHSA-ffw3-6378-cqgp
Severity HIGH
CVSS v3.1 Base Score 8.8
CWE Classification CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Affected Product Mlflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 8.8

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

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

How to Fix CVE-2023-4033

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: 2.6.0 
pip install mlflow>=2.6.0
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-2023-4033, 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 2.6.0), 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-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection'), where the product constructs all or part of an os command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended os command when it is sent to a downstream component. 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

OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.

CVE-2023-4033 Affected Mlflow Versions

1 component(s)
Fixed Versions:
2.6.0
Product / Package Ecosystem Affected Versions Fixed Version
mlflow
pypi/mlflow
PyPI
< 2.6.0
2.6.0

References

NVD — CVE-2023-4033 NVD
https://nvd.nist.gov/vuln/detail/CVE-2023-4033
Security Fix Commit FIX COMMIT
https://github.com/mlflow/mlflow/commit/6dde93758d42455cb90ef324407919ed67668b9b
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow
Mlflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-280.yaml
huntr.dev/bounties/5312d6f8-6... WEB
https://huntr.dev/bounties/5312d6f8-67a5-4607-bd47-5e19966fa321

Frequently Asked Questions

What is CVE-2023-4033?
CVE-2023-4033 is a security vulnerability in Mlflow involving mlflow vulnerable to OS Command Injection under CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
Which Mlflow versions are affected?
Affected versions include releases prior to 2.6.0 across affected packages: mlflow.
What version fixes CVE-2023-4033?
Upgrading to 2.6.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is mlflow affected?
Yes, mlflow is affected in releases prior to 2.6.0. Upgrade your dependency to 2.6.0 or later.
What is the CVSS score of CVE-2023-4033?
CVE-2023-4033 has a CVSS v3.1 base score of 8.8 (HIGH) with vector string CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H.
What CWE is associated with CVE-2023-4033?
CVE-2023-4033 is classified under CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') (The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.).
How can I check PyPI dependencies for CVE-2023-4033?
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-ffw3-6378-cqgp",
  "modified" : "2024-11-22T18:13:07Z",
  "published" : "2023-08-01T03:31:17Z",
  "aliases" : [ "CVE-2023-4033" ],
  "summary" : "mlflow vulnerable to OS Command Injection",
  "details" : "OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "mlflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.6.0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2023-4033"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/commit/6dde93758d42455cb90ef324407919ed67668b9b"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mlflow/mlflow"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-280.yaml"
  }, {
    "type" : "WEB",
    "url" : "https://huntr.dev/bounties/5312d6f8-67a5-4607-bd47-5e19966fa321"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-78" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2023-08-01T19:44:27Z",
    "nvd_published_at" : "2023-08-01T01:15:10Z"
  }
}