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High, CVSS 7.8

MONAI: Unsafe deserialization in NumpyReader allows arbitrary code execution via malicious .npy files

GHSA-wg9g-w2j2-8pgr

What to do

Vendor fix available. Upgrade each affected package to the fixed version on its release line (monai 1.6.0), redeploy, then verify what is actually installed.

This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.

Affected packages

  • PyPI monai

    Affected
    < 1.6.0
    Fixed in
    1.6.0

Sources

Severity and exploitation
Exploitation
No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
CVSS
7.8 · CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS
No dated EPSS signal available.
Source description

As published by the source; long descriptions are shortened.

Summary The NumpyReader class in monai/data/imagereader.py unconditionally uses np.load(name, allowpickle=True) (line 1276), enabling arbitrary code execution when loading a crafted .npy or .npz file. This affects all MONAI versions up to and including the latest commit (5b71547). The allowpickle parameter is hardcoded to True and cannot be overridden by the user (the docstring explicitly states kwargs are accepted "except allowpickle"). Details Vulnerable code (permalink): The NumpyReader is automatically selected by MONAI's LoadImage transform for any file with .npy or .npz extension (see monai/transforms/io/array.py line 68: "numpyreader": NumpyReader). This means the entire standard data pipeline (LoadImage, PersistentDataset, CacheDataset, SmartCacheDataset, etc.) is vulnerable. The allowpickle=True parameter enables Python's pickle protocol during numpy loading. Pickle is known to be unsafe for untrusted data, as it can execute arbitrary code during deserialization via the…

Dates and revisions
Published by the source
Last modified by the source
Source last checked
  1. Revision 1 · created ·

    Published from ghsa record GHSA-wg9g-w2j2-8pgr

Agent brief

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# Patch Next advisory brief: GHSA-wg9g-w2j2-8pgr

Advisory: MONAI: Unsafe deserialization in NumpyReader allows arbitrary code execution via malicious .npy files
IDs: GHSA-wg9g-w2j2-8pgr
Record: https://patchnext.com/advisories/ghsa-wg9g-w2j2-8pgr (revision 1, source checked 26 Oct 2026, 13:50 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: High (CVSS 7.8)
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor fix available; fixed versions by package: monai 1.6.0. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI monai: affected < 1.6.0; fixed in 1.6.0

## Suggested inspection (read-only)
- `python -m pip show monai`: prints the installed version. Run with the environment that serves production active.

## Supported action
Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on monai.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://github.com/advisories/GHSA-wg9g-w2j2-8pgr (GitHub-reviewed advisory GHSA-wg9g-w2j2-8pgr lists affected ranges: PyPI monai >=0 <1.6.0)

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