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CVE-2026-48705MONAI: MONAILabel Server Crash and Silent Inference Corruption via Crafted DICOM (pydicom DS/IS Validation Bypass)

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.

9.3 CRITICALEPSS 0.50%Not in KEVNVD: Deferred

Overview

Severity

ScoreSeverityVersionVector String
9.3CRITICAL3.1GitHub_M (CNA)CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:H/A:L

Details

CVE ID
CVE-2026-48705
Status
Deferred
Assigner (CNA)
GitHub_M
Published
Nov 5, 2026
Last modified
2026-11-05 22:18 UTC
Weaknesses
  • CWE-20 · Improper Input Validation
  • CWE-682 · Incorrect Calculation

Sources

Refreshed hourly from the sources above. Last fetched 2026-11-08 07:12 UTC.