PT-2024-27271 · Lightgbm+2 · Lightgbm+2

Published 2024-06-04 · Updated 2025-02-03 · CVE-2024-37056

Positive Technologies (AI Summary)

CVSS v3.1

8.8

High

Base vector

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

Name of the Vulnerable Software and Affected Versions MLflow versions 1.23.0 and newer

Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user's system when interacted with.

Recommendations For MLflow versions 1.23.0 and newer, consider restricting the upload and interaction of LightGBM scikit-learn models until a patch is available. As a temporary workaround, restrict access to the model upload feature to minimize the risk of exploitation. At the moment, there is no information about a newer version that contains a fix for this vulnerability.

Exploit

Deserialization of Untrusted Data

Weakness Enumeration

CWE-502

Related Identifiers

BIT-MLFLOW-2024-37056

CVE-2024-37056

GHSA-7P8J-QV6X-F4G4

Affected Products

Lightgbm

Mlflow

Scikit-Learn

References · 8

• 🔥 https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 · Exploit
• https://nvd.nist.gov/vuln/detail/CVE-2024-37056 · Security Note
• https://osv.dev/vulnerability/GHSA-7p8j-qv6x-f4g4 · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2024-37056 · Vendor Advisory
• https://osv.dev/vulnerability/BIT-mlflow-2024-37056 · Vendor Advisory
• https://github.com/mlflow/mlflow · Note
• https://t.me/cvenotify/81906 · Telegram Post
• https://t.me/cvenotify/109651 · Telegram Post