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mlflow vulnerable to OS Command Injection

High severity GitHub Reviewed Published Aug 1, 2023 to the GitHub Advisory Database • Updated Nov 22, 2024

Package

pip mlflow (pip)

Affected versions

< 2.6.0

Patched versions

2.6.0

Description

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

References

Published by the National Vulnerability Database Aug 1, 2023
Published to the GitHub Advisory Database Aug 1, 2023
Reviewed Aug 1, 2023
Last updated Nov 22, 2024

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Local
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

EPSS score

0.043%
(11th percentile)

Weaknesses

CVE ID

CVE-2023-4033

GHSA ID

GHSA-ffw3-6378-cqgp

Source code

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