CVE-2026-48705
CRITICAL
INFO
Priority: 0.05
BB Relevance:
79/100
Published: 2026-11-05
Modified: 2026-11-05
First seen: 2026-11-05
Status: active
Attack Surface
Network
Low Complexity
No Auth
No Interaction
Integ. Impact
Scope Change
CVSS Vector Breakdown
AV:
Network
AC:
Low
PR:
None
UI:
None
S:
Changed
C:
None
I:
High
A:
Low
Description
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. Prior to 1.6.1, PydicomReader._get_affine() trusts non-finite values in the DICOM PixelSpacing, ImagePositionPatient, and ImageOrientationPatient fields and composes them into an affine matrix without validation. An unauthenticated attacker who can upload a crafted DICOM to a default MONAILabel deployment can propagate NaN or infinity values through LoadImaged, Spacingd, model inference, and output writing, causing inference failures, persistent datastore poisoning, or geometrically corrupted results. This issue is fixed in version 1.6.1.
Weakness Classification (2)
Affected Software (2)
| Vendor | Product | Version |
|---|---|---|
| Project-MONAI | MONAI | < 1.6.1 |
| Project-MONAI | MONAI | < 1.6.1 |
References & Advisories (4)
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x_refsource_MISC
x_refsource_CONFIRM