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MLFlow unsafe deserialization

High severity GitHub Reviewed Published Jun 4, 2024 to the GitHub Advisory Database • Updated Jun 5, 2024

Package

pip mlflow (pip)

Affected versions

>= 2.0.0rc0, <= 2.13.1

Patched versions

None

Description

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.

References

Published by the National Vulnerability Database Jun 4, 2024
Published to the GitHub Advisory Database Jun 4, 2024
Reviewed Jun 5, 2024
Last updated Jun 5, 2024

Severity

High
8.8
/ 10

CVSS base metrics

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

Weaknesses

CVE ID

CVE-2024-37057

GHSA ID

GHSA-j8mg-pqc5-x9gj

Source code

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