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

Quick assessment

Affected
Project-MONAI MONAI
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

MONAI(Medical Open Network for AI)是一款面向医疗影像的人工智能工具包。在 1.6.1 版本之前,PydicomReader._get_affine() 方法会直接信任 DICOM 文件中 PixelSpacing、ImagePositionPatient 和 ImageOrientationPatient 字段内出现的非有限值(non-finite values,如 NaN 或无穷大),并在未进行任何验证的情况下将这些值组合成仿射变换矩阵。因此,未经身份验证的攻击者若能够向默认配置

CVSS 9.3 · Critical
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I. Basic Information for CVE-2026-48705

Vulnerability Information

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Vulnerability Title
MONAI: MONAILabel Server Crash and Silent Inference Corruption via Crafted DICOM (pydicom DS/IS Validation Bypass)
Source: CVE Program / CVE List V5
Vulnerability 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.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:H/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
输入验证不恰当
Source: CVE Program / CVE List V5

Affected Products

Vendor Product Affected Versions CPE Subscribe
Project-MONAI MONAI < 1.6.1 -

II. Public POCs for CVE-2026-48705

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III. Intelligence Information for CVE-2026-48705

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Other References for CVE-2026-48705 (4)

IV. Related Vulnerabilities