Loading HuntDB...
Hunt
Vulnerability Intelligence by wss.sh
Home Daily Briefings High Impact CVEs Recent Exploits KEV Catalog GitHub Advisories Latest Updates Security News
Sign In Sign Up

CVE-2024-27133

HIGH
Published 2024-02-23T22:00:33.124Z
Actions:

Expert Analysis

Professional remediation guidance

Get tailored security recommendations from our analyst team for CVE-2024-27133. We'll provide specific mitigation strategies based on your environment and risk profile.

CVSS Score

V3.1
7.5
/10
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.002
probability
of exploitation in the wild

There is a 0.2% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.439
Higher than 43.9% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED

Impact Metrics

Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH

Description

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.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

Unknown Vendor

Unknown Product

Affected Versions:

0
lfprojects

mlflow

Affected Versions:

0

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed CRITICAL

MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution

GHSA-3v79-q7ph-j75h

Advisory Details

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
ECOSYSTEM: ≥0 <2.10.0

CVSS Scoring

CVSS Score

9.0

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

References

ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2024-27133
WEB https://github.com/mlflow/mlflow/pull/10893
WEB https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b
WEB https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1
PACKAGE https://github.com/mlflow/mlflow
WEB https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml
WEB https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932

Advisory provided by GitHub Security Advisory Database. Published: February 24, 2024, Modified: April 8, 2025

References

https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/
https://github.com/mlflow/mlflow/pull/10893
Published: 2024-02-23T22:00:33.124Z
Last Modified: 2024-08-22T18:01:49.002Z
Copied to clipboard!