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8.8
HIGH CVSS 3.1
CVE-2025-58757
MONAI's unsafe use of Pickle deserialization may lead to RCE
Description

MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available.

INFO

Published Date :

Sept. 9, 2025, 12:15 a.m.

Last Modified :

Sept. 19, 2025, 3:26 p.m.

Remotely Exploit :

Yes !

Source :

[email protected]
Affected Products

The following products are affected by CVE-2025-58757 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 Monai medical_open_network_for_ai
: Total Affected Vendor : 1 | Products : 1
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH [email protected]
Solution
Avoid using pickle operations that load untrusted data to prevent code execution.
  • Avoid deserializing data from untrusted sources.
  • Update MONAI to a patched version when available.
  • Review code for usage of pickle.loads().
Public PoC/Exploit Available at Github

CVE-2025-58757 has a 1 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-2025-58757.

URL Resource
https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm Exploit Vendor Advisory
https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm Exploit Vendor Advisory
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-58757 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-2025-58757 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).

Profile Photo
AndreaCookieMonster/healthcare-llm-threat-model

This repository adapts the OWASP Top 10 for Large Language Model Applications to the healthcare domain, producing a specialized threat model for Large Language Models (LLMs) in clinical, research, and public health settings.

HTML JavaScript Python Ruby Makefile SCSS CSS

Updated: 3 days, 21 hours ago
3 stars 2 fork 2 watcher
Born at : Aug. 8, 2025, 7:07 p.m. This repo has been linked 4 different CVEs too.

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

The following list is the news that have been mention CVE-2025-58757 vulnerability anywhere in the article.

Results are limited to the first 20 news articles due to potential performance issues.

The following table lists the changes that have been made to the CVE-2025-58757 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.

  • Initial Analysis by [email protected]

    Sep. 19, 2025

    Action Type Old Value New Value
    Added CPE Configuration OR *cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:* versions up to (including) 1.5.0
    Added Reference Type GitHub, Inc.: https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm Types: Exploit, Vendor Advisory
    Added Reference Type CISA-ADP: https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm Types: Exploit, Vendor Advisory
  • CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0

    Sep. 09, 2025

    Action Type Old Value New Value
    Added Reference https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm
  • New CVE Received by [email protected]

    Sep. 09, 2025

    Action Type Old Value New Value
    Added Description MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available.
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
    Added CWE CWE-502
    Added Reference https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm
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.
Vulnerability Scoring Details
Base CVSS Score: 8.8
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality Impact
Integrity Impact
Availability Impact