CVE-2023-6709: Mlflow Jinja2 Template Injection Vulnerability

HIGH
Advisory Identifier: GHSA-cxfr-5q3r-2rc2
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CVSS 8.8
CWE-1336
Published
Advisory Summary

CVE-2023-6709 is a HIGH (CVSS 8.8) jinja2 template injection vulnerability (CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine) affecting Mlflow libraries in the PyPI ecosystem. The issue involves jinja2 template injection in mlflow. Remediation is available by upgrading affected packages to version 2.9.2.

CVE-2023-6709 at a Glance

CVE Identifier CVE-2023-6709
GHSA Identifier GHSA-cxfr-5q3r-2rc2
Severity HIGH
CVSS v3.1 Base Score 8.8
CWE Classification CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine
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:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).

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 High (A:H)

How to Fix CVE-2023-6709

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: 2.9.2 
pip install mlflow>=2.9.2
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-2023-6709, 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 2.9.2), 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-1336: Improper Neutralization of Special Elements Used in a Template Engine, where the product uses a template engine to insert or process externally-influenced input, but it does not neutralize or incorrectly neutralizes special elements or syntax that can be interpreted as template expressions or other code directives when processed by the engine. 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

Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.

CVE-2023-6709 Affected Mlflow Versions

1 component(s)
Fixed Versions:
2.9.2
Product / Package Ecosystem Affected Versions Fixed Version
mlflow
pypi/mlflow
PyPI
< 2.9.2
2.9.2

References

NVD — CVE-2023-6709 NVD
https://nvd.nist.gov/vuln/detail/CVE-2023-6709
Security Fix Commit FIX COMMIT
https://github.com/mlflow/mlflow/commit/432b8ccf27fd3a76df4ba79bb1bec62118a85625
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow
Mlflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-281.yaml
huntr.com/bounties/9e4cc07b-6... WEB
https://huntr.com/bounties/9e4cc07b-6fff-421b-89bd-9445ef61d34d

Frequently Asked Questions

What is CVE-2023-6709?
CVE-2023-6709 is a security vulnerability in Mlflow involving Jinja2 template injection in mlflow under CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine.
Which Mlflow versions are affected?
Affected versions include releases prior to 2.9.2 across affected packages: mlflow.
What version fixes CVE-2023-6709?
Upgrading to 2.9.2 (or the latest patched release for your respective branch) resolves the vulnerability.
Is mlflow affected?
Yes, mlflow is affected in releases prior to 2.9.2. Upgrade your dependency to 2.9.2 or later.
What is the CVSS score of CVE-2023-6709?
CVE-2023-6709 has a CVSS v3.1 base score of 8.8 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.
What CWE is associated with CVE-2023-6709?
CVE-2023-6709 is classified under CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine (The product uses a template engine to insert or process externally-influenced input, but it does not neutralize or incorrectly neutralizes special elements or syntax that can be interpreted as template expressions or other code directives when processed by the engine.).
How can I check PyPI dependencies for CVE-2023-6709?
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-cxfr-5q3r-2rc2",
  "modified" : "2024-11-22T18:14:30Z",
  "published" : "2023-12-12T06:30:43Z",
  "aliases" : [ "CVE-2023-6709" ],
  "summary" : "Jinja2 template injection in mlflow",
  "details" : "Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "mlflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.9.2"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2023-6709"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/commit/432b8ccf27fd3a76df4ba79bb1bec62118a85625"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mlflow/mlflow"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-281.yaml"
  }, {
    "type" : "WEB",
    "url" : "https://huntr.com/bounties/9e4cc07b-6fff-421b-89bd-9445ef61d34d"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-1336" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2023-12-13T13:33:30Z",
    "nvd_published_at" : "2023-12-12T04:15:07Z"
  }
}