CVE-2024-37065
Apache Skops Python Library Untrusted Data Deserialization Vulnerability
Description
Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded.
INFO
Published Date :
June 4, 2024, 12:15 p.m.
Last Modified :
April 15, 2026, 12:35 a.m.
Remotely Exploit :
No
Source :
6f8de1f0-f67e-45a6-b68f-98777fdb759c
Affected Products
The following products are affected by CVE-2024-37065
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.
No affected product recoded yet
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | HIGH | 6f8de1f0-f67e-45a6-b68f-98777fdb759c |
Public PoC/Exploit Available at Github
CVE-2024-37065 has a 3 public
PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
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-2024-37065.
| URL | Resource |
|---|---|
| https://hiddenlayer.com/sai-security-advisory/skops-june2024 | |
| https://hiddenlayer.com/sai-security-advisory/skops-june2024 |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-37065 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-2024-37065
weaknesses.
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).
None
Jupyter Notebook
None
Jupyter Notebook
An end-to-end production engineering pipeline designed to monitor industrial asset telemetry and predict equipment failures using a Random Forest framework. It integrates MLflow for robust model version control, deployment tracking while implementing secure skops deserialization to satisfy enterprise data governance and CVE safety constraints.
Jupyter Notebook
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-37065 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-37065 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/skops-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 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded. Added Reference HiddenLayer https://hiddenlayer.com/sai-security-advisory/skops-june2024 [No types assigned] Added CWE HiddenLayer CWE-502 Added CVSS V3.1 HiddenLayer AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H