8.8

CVE-2024-37053: lfprojects mlflow Deserialization of Untrusted Data

CVSS: 8.8v3.1HighAnalyzed
AliasesGHSA-43c4-9qgj-x742BIT-mlflow-2024-37053PYSEC-2026-1636
Published 04-06-2024Last modified 02-08-2024
Open JSON

Vulnerability summary

CVE-2024-37053 is a high (CVSS 8.8) Deserialization of Untrusted Data vulnerability in lfprojects mlflow. EPSS estimates a 0.62% chance of exploitation in the next 30 days, higher than 48.9% of scored vulnerabilities. 1 public exploit is recorded.

Overall risk
45/100
0100
Medium · default modelHow is this calculated?
CVSS score
8.8/10
010
High · v3.1 (CVE.org)
EPSS score
0.62%
0%100%
Low · +0.01 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits1reference

Advisory lineage

Upstream 0 · Downstream 0 · Related 1
CGA-V9M7-3JGP-VVMJ

Timeline

  1. 04-06-2024
    PublishedVulnerability first disclosed.
  2. 02-08-2024
    Last modifiedVulnerability information updated.

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 metrics

3 scores · 3 sources · 1 version

EPSS trend

Probability

0.62%

Chance of exploitation in the next 30 days

Percentile

49%

Versus all other CVEs

30-day change

+0.01 pp

From 0.62% on 19-09-2026

19-09-202619-10-2026
EPSS score
0.62%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

1 found
  • referenceUnverified

    Exploit Reference (hiddenlayer.com)

    Maturity: unknown

Weaknesses

CWE · root cause

Affected systems

Chainguard2 products
  • mlflow< 2.13.2-r0
  • mlflow-bitnami< 2.13.2-r0
Wolfi2 products
  • mlflow< 2.13.2-r0
  • mlflow-bitnami< 2.13.2-r0
Lfprojects1 product
  • mlflow≥ 1.1.0 (No fix recorded)
Mlflow1 product
  • mlflow≥ 1.1.0 (No fix recorded)
PyPI1 product
  • mlflow≥ 1.1.0, ≤ 2.14.1

5 vendors · 7 products

References

5 links