---
title: "CVE-2024-27133: MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution"
url: https://erroneo.us/security/cve/CVE-2024-27133/
description: "CVE-2024-27133 (mlflow (PyPI)): Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a…"
type: vulnerability-record
section: "Security Digest"
date_published: 2024-02-23
date_modified: 2026-03-15
publisher: erroneo.us
author: erroneo.us Security Desk
cve: "CVE-2024-27133"
kev: false
cvss: 7.5
epss: 0.00656
license: All rights reserved. Quote with attribution and a link.
---

# CVE-2024-27133: MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution

**Signal:** Normal patch cycle. No exploitation signal; fix it in your next routine update if you are affected. (Computed from CISA KEV, EPSS and CVSS; not an editorial verdict.)

## Should you act?

- Not in CISA KEV , but CISA’s SSVC assessment records a public proof-of-concept, so attack code exists.
- EPSS 0.7% , percentile 51: FIRST’s model estimates a 0.7% chance of exploitation activity in the next 30 days, higher than 51% of all scored CVEs (moderate). EPSS is a probability, not a verdict.
- Needs a user to click or open something. Phishing makes that realistic, but it is not wormable.
- Only applies if your dependency tree includes mlflow (PyPI) < 2.10.0, fixed in 2.10.0 . Check your lockfile, including transitive dependencies.

## What it is

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

## Affected packages

- PyPI `mlflow` < 2.10.0 → fixed: 2.10.0

## Affected products (CVE record)

-  mlflow: <= 2.9.2

## Severity

- JFROG CVSS 3.1: 7.5 `CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H`
- GitHub CVSS 3.1: 9.6 `CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H`

## Exploitation

- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- CISA SSVC assessment: exploitation poc , automatable no , technical impact partial .
- FIRST EPSS (model of 2026-10-21): 0.66% probability of exploitation activity in the next 30 days; percentile 51.

## Sources

- [GitHub Advisory GHSA-3v79-q7ph-j75h](https://github.com/advisories/GHSA-3v79-q7ph-j75h)
- [CVE.org record CVE-2024-27133](https://www.cve.org/CVERecord?id=CVE-2024-27133)
- [NVD entry CVE-2024-27133](https://nvd.nist.gov/vuln/detail/CVE-2024-27133)
- [research.jfrog.com](https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/)
- [github.com](https://github.com/mlflow/mlflow/pull/10893)
- [github.com](https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b)
- [github.com](https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1)
- [github.com](https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml)

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Source page: https://erroneo.us/security/cve/CVE-2024-27133/ · Security Digest: https://erroneo.us/security/ · More: https://erroneo.us/llms.txt