CVE-2024-37057: lfprojects mlflow Deserialization of Untrusted Data
CVSS: 8.8v3.1HighAnalyzed
AliasesGHSA-j8mg-pqc5-x9gjBIT-mlflow-2024-37057PYSEC-2026-1654CGA-p6jj-p5p6-w8x6
Published 04-06-2024Last modified 02-08-2024
Vulnerability summary
CVE-2024-37057 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.
CVSS score
8.8/10
010
High · v3.1 (CVE.org)EPSS score
0.62%
0%100%
Low · +0.01 pp in 30 daysKEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits1reference
Advisory lineage
Upstream 0 · Downstream 0 · Related 1Timeline
- 04-06-2024PublishedVulnerability first disclosed.
- 02-08-2024Last modifiedVulnerability information updated.
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.
CVSS metrics
3 scores · 3 sources · 1 versionHigh 8.8Preferred score · CVE.org (CNA)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSourcesAll 3 agree
- OSV · PypiEcosystem advisory · calculated8.8HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- NVDNIST8.8HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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 20-09-2026
20-09-202620-10-2026
EPSS score0.62%
Known exploited
Compare KEV catalogsNot in any of the 3 tracked catalogs.
Public exploits
1 foundExploit Reference (hiddenlayer.com)
Maturity: unknown
Weaknesses
CWE · root causeAffected 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≥ 2.0.0 (No fix recorded)
Mlflow1 product
- mlflow≥ 2.0.0rc0 (No fix recorded)
PyPI1 product
- mlflow≥ 2.0.0rc0, ≤ 2.14.1
5 vendors · 7 products
References
5 links- github.com/mlflow/mlflowPACKAGE
- pypi.org/project/mlflowPACKAGE