---
id: CVE-2024-37054
aliases:
  - GHSA-ghv6-9r9j-wh4j
  - BIT-mlflow-2024-37054
  - PYSEC-2026-1651
title: MLFlow unsafe deserialization
summary: MLFlow unsafe deserialization
severity: high
cvss: 8.8
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H'
vendor: mlflow
product: mlflow
ecosystem: pip
affected:
  - 'mlflow >= 0.9.0, <= 2.14.1'
published: '2024-06-04'
updated: '2026-07-07'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-ghv6-9r9j-wh4j'
references:
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2024-37054'
  - url: 'https://github.com/mlflow/mlflow'
  - url: 'https://hiddenlayer.com/sai-security-advisory/mlflow-june2024'
tags:
  - osv
  - pip
  - exploit-available
epss: 0.00703
epssPercentile: 0.51365
ingestedAt: '2026-07-08T18:25:49.723Z'
exploits:
  github: 8
  githubRepos:
    - 'https://github.com/NiteeshPujari/CVE-2024-37054-MLflow-RCE'
    - 'https://github.com/ben-slates/CVE-2024-37054'
    - 'https://github.com/jimmexploit/CVE-2024-37054-PoC'
  checkedAt: '2026-09-27T10:33:30.909Z'
exploitAvailable: true
---

## Overview

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

## Affected packages

- `mlflow >= 0.9.0, <= 2.14.1`

## Remediation

Refer to the advisory for the patched release.