What is the CVSS score of CVE-2025-58757?

CVE-2025-58757 has a CVSS 3.1 base score of 8.8 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.6%.

Which versions of Monai are affected by CVE-2025-58757?

Organizations using versions face significant risk from CVE-2025-58757, a insecure deserialization vulnerability rated CVSS 8.8.. A patch is available.

Is there a public PoC exploit available for CVE-2025-58757?

Yes, a public proof-of-concept exploit is available for CVE-2025-58757. Prioritise patching immediately. EPSS: 0.6%.

How to fix or mitigate CVE-2025-58757?

Within 7 days: Identify all affected systems running versions and apply vendor patches promptly. Restrict deserialization to trusted data sources and implement integrity checks.

Monai CVE-2025-58757

HIGH

Deserialization of Untrusted Data (CWE-502)

2025-09-09 security-advisories@github.com

GHSA-p8cm-mm2v-gwjm

RCE Deserialization Monai Medical Open Network For Ai

8.8

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

8.8 HIGH

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

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

Patch released

Mar 31, 2026 - 21:13 nvd

Patch available

Analysis Generated

Mar 28, 2026 - 19:11 vuln.today

PoC Detected

Sep 19, 2025 - 15:26 vuln.today

Public exploit code

CVE Published

Sep 09, 2025 - 00:15 nvd

HIGH 8.8

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

2 pypi packages depend on monai (1 direct, 1 indirect)

Ecosystem-wide dependent count for version 1.5.1.

DescriptionGitHub Advisory

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.

AnalysisAI

MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as Deserialization of Untrusted Data (CWE-502), which allows attackers to execute arbitrary code through malicious serialized objects. 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. Affected products include: Monai Medical Open Network For Ai.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.