CVE-2023-6018: Mlflow Remote Code Execution Vulnerability
CRITICALCVE-2023-6018 is a CRITICAL (CVSS 10.0) remote code execution 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 remote code execution due to full controled file write in mlflow. Remediation is available by upgrading affected packages to version 2.9.2.
CVE-2023-6018 at a Glance
Security Impact
CVSS: 10.0
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H).
How to Fix CVE-2023-6018
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.
pip install mlflow>=2.9.2
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-2023-6018, 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-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
CVE-2023-6018 Affected Mlflow Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
mlflow
|
PyPI |
< 2.9.2
|
2.9.2
|
References
Frequently Asked Questions
What is CVE-2023-6018?
Which Mlflow versions are affected?
What version fixes CVE-2023-6018?
Is mlflow affected?
What is the CVSS score of CVE-2023-6018?
What CWE is associated with CVE-2023-6018?
How can I check PyPI dependencies for CVE-2023-6018?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-5p3h-7fwh-92rc",
"modified" : "2024-08-08T20:05:58Z",
"published" : "2023-11-16T18:30:31Z",
"aliases" : [ "CVE-2023-6018" ],
"summary" : "Remote Code Execution due to Full Controled File Write in mlflow",
"details" : "The mlflow web server includes tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models. As this vulnerability allows to write / overwrite any file on the file system, it gives a lot of ways to archive code execution (like overwriting `/home/<user>/.bashrc`). A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "mlflow"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "2.9.2"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "<= 2.8.1"
}
} ],
"references" : [ {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2023-6018"
}, {
"type" : "WEB",
"url" : "https://github.com/mlflow/mlflow/commit/55c72d02380e8db8118595a4fdae7879cb7ac5bd"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/mlflow/mlflow"
}, {
"type" : "WEB",
"url" : "https://huntr.com/bounties/7cf918b5-43f4-48c0-a371-4d963ce69b30"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-78" ],
"severity" : "CRITICAL",
"github_reviewed" : true,
"github_reviewed_at" : "2023-11-28T21:58:57Z",
"nvd_published_at" : "2023-11-16T16:15:34Z"
}
}