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TI-2025-36414 Aliases CVE-2025-58756GHSA-6vm5-6jv9-rjpj

MONAI's unsafe torch usage may lead to arbitrary code execution

Priority MEDIUM 41CWE-502Published · Updated

Key facts

Attack vector
Network
Privileges required
Low
User interaction
None
Attack complexity
Low
Impact type
Code execution
Confidentiality · integrity · availability
High · High · High
Fix status
Fixed

Attack profile from CVSS 3.1 · CNA. Fix status from CNA and GitHub. Impact type from CWE-502.

Summary

MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available.

Why it matters now

Exploitation None reported CISA SSVC · not in CISA KEV
EPSS 0.0075 55th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
Fix Fixed monai (PyPI): 1.5.1

SSVC decision points

CISA ADP · SSVC 2.0.3

Exploitation
None
Automatable
No
Technical impact
Total

The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.

Affected products

VendorProductAffected versionsFixed inStatusSource
Project-MONAIMONAIup to 1.5.0—No fix listedCNA
—monai (PyPI)before 1.5.11.5.1Patch availableGHSA-6vm5-6jv9-rjpj
  • MONAI VendorProject-MONAI Affected up to 1.5.0 Fixed in — No fix listed CNA
  • monai (PyPI) Vendor— Affected before 1.5.1 Fixed in 1.5.1 Patch available GHSA-6vm5-6jv9-rjpj

CPE configurations NVD · 1

CPEVersionsRoleVendor
cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*up to 1.5.0VulnerableMonai
  • cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:* Versions up to 1.5.0 Vulnerable ·Monai

Remediation

  • Fix · GHSA-6vm5-6jv9-rjpj monai (PyPI) Fixed in 1.5.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2025-58756
  2. 2026-10-03 Alias added: GHSA-6vm5-6jv9-rjpj

References

Exploit 1

Advisory 1

Other 4

  • TI-2026-85662 MONAI accepts non-finite DICOM geometry values, corrupting inference CVSS 3.1CRITICAL 9.3
  • TI-2026-64984 MONAI before 1.5.2 Remote Code Execution via Pickle Deserialization CVSS 4.0HIGH 8.8
  • TI-2025-36415 MONAI's unsafe use of Pickle deserialization may lead to RCE CVSS 3.1HIGH 8.8
  • TI-2026-83080 Remote code execution in MONAI Auto3DSeg algo_from_json() CVSS 4.0HIGH 8.5
  • TI-2026-64983 MONAI before 1.6.0 Remote Code Execution via NumpyReader CVSS 4.0HIGH 8.5
  • TI-2026-64982 MONAI before 1.6.0 OS Command Injection via dataset_name_or_id CVSS 4.0HIGH 8.6
See all 16 →

Sources

This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences