CVE-2026-48705 PUBLISHED

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

Assigner: GitHub_M
Reserved: 22.05.2026 Published: 05.11.2026 Updated: 05.11.2026

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.

Metrics

CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:H/A:L
CVSS Score: 9.3

Product Status

Vendor Project-MONAI
Product MONAI
Versions
  • Version < 1.6.1 is affected

References

Problem Types

  • CWE-20: Improper Input Validation CWE
  • CWE-682: Incorrect Calculation CWE