CVE-2024-37053 — HIGH (8.8)

Vulnerability Description

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.

CVSS Score

8.8

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality

HIGH

Integrity

HIGH

Availability

HIGH

Affected Products

Vendor	Product	Versions
Lfprojects	Mlflow	>= 1.1.0

Related Weaknesses (CWE)

CWE-502

References

https://hiddenlayer.com/sai-security-advisory/mlflow-june2024ExploitThird Party Advisory
https://hiddenlayer.com/sai-security-advisory/mlflow-june2024ExploitThird Party Advisory

FAQ

What is CVE-2024-37053?

CVE-2024-37053 is a vulnerability with a CVSS score of 8.8 (HIGH). Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s...

How severe is CVE-2024-37053?

CVE-2024-37053 has been rated HIGH with a CVSS base score of 8.8/10. Review the CVSS metrics above for detailed severity breakdown.

Is there a patch for CVE-2024-37053?

Check the references section above for vendor advisories and patch information. Affected products include: Lfprojects Mlflow.