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Path traversal in MLflow

High severity GitHub Reviewed Published Dec 13, 2023 to the GitHub Advisory Database • Updated Dec 15, 2023

Package

pip mlflow (pip)

Affected versions

< 2.9.2

Patched versions

2.9.2

Description

Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2.

References

Published by the National Vulnerability Database Dec 13, 2023
Published to the GitHub Advisory Database Dec 13, 2023
Reviewed Dec 13, 2023
Last updated Dec 15, 2023

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
Network
Attack complexity
Low
Privileges required
None
User interaction
Required
Scope
Unchanged
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:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

EPSS score

0.101%
(43rd percentile)

Weaknesses

CVE ID

CVE-2023-6753

GHSA ID

GHSA-v945-r3rc-6fjm

Source code

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