---
id: CVE-2024-3099
aliases:
  - GHSA-8f8q-q2j7-7j2m
  - BIT-mlflow-2024-3099
  - PYSEC-2026-1645
title: Undefined Behavior in mlflow
summary: Undefined Behavior in mlflow
severity: medium
cvss: 5.4
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L'
vendor: mlflow
product: mlflow
ecosystem: pip
affected:
  - mlflow < 2.11.3
patched:
  - mlflow 2.11.3
published: '2024-06-06'
updated: '2026-07-07'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-8f8q-q2j7-7j2m'
references:
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2024-3099'
  - url: 'https://github.com/mlflow/mlflow'
  - url: 'https://huntr.com/bounties/8d96374a-ce8d-480e-9cb0-0a7e5165c24a'
tags:
  - osv
  - pip
epss: 0.00442
epssPercentile: 0.37836
ingestedAt: '2026-07-08T18:25:47.466Z'
---

## Overview

A vulnerability in mlflow/mlflow version 2.11.1 allows attackers to create multiple models with the same name by exploiting URL encoding. This flaw can lead to Denial of Service (DoS) as an authenticated user might not be able to use the intended model, as it will open a different model each time. Additionally, an attacker can exploit this vulnerability to perform data model poisoning by creating a model with the same name, potentially causing an authenticated user to become a victim by using the poisoned model. The issue stems from inadequate validation of model names, allowing for the creation of models with URL-encoded names that are treated as distinct from their URL-decoded counterparts.

## Affected packages

- `mlflow < 2.11.3`

## Remediation

Upgrade to a patched release:

- `mlflow 2.11.3`