8.8
HIGH
CVE-2024-37053
MLflow Untrusted Data Deserialization Remote Code Execution
Description

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.

INFO

Published Date :

June 4, 2024, 12:15 p.m.

Last Modified :

Nov. 21, 2024, 9:23 a.m.

Source :

6f8de1f0-f67e-45a6-b68f-98777fdb759c

Remotely Exploitable :

Yes !

Impact Score :

5.9

Exploitability Score :

2.8
Affected Products

The following products are affected by CVE-2024-37053 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Lfprojects mlflow
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2024-37053.

URL Resource
https://hiddenlayer.com/sai-security-advisory/mlflow-june2024
https://hiddenlayer.com/sai-security-advisory/mlflow-june2024

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2024-37053 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2024-37053 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • CVE Modified by af854a3a-2127-422b-91ae-364da2661108

    Nov. 21, 2024

    Action Type Old Value New Value
    Added Reference https://hiddenlayer.com/sai-security-advisory/mlflow-june2024
  • CVE Received by 6f8de1f0-f67e-45a6-b68f-98777fdb759c

    Jun. 04, 2024

    Action Type Old Value New Value
    Added Description Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
    Added Reference HiddenLayer https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 [No types assigned]
    Added CWE HiddenLayer CWE-502
    Added CVSS V3.1 HiddenLayer AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2024-37053 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2024-37053 weaknesses.

CVSS31 - Vulnerability Scoring System
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality
Integrity
Availability