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

Status: published. Published: 2026-11-05. Updated: 2026-11-05.

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.

## Remediation

- fix: monai (PyPI): OSV reports a fixed version 1.6.1. Check the advisory for supported release branches. (source: OSV GHSA-6hp3-vr39-rqw8) — https://github.com/advisories/GHSA-6hp3-vr39-rqw8

## Affected products and versions

- Project-MONAI / MONAI: < 1.6.1 (affected). Source: CNA: GitHub_M
-  / monai (monai): 0.0.1 (affected, PyPI); 0.1.0 (affected, PyPI); 0.2.0 (affected, PyPI); 0.3.0 (affected, PyPI); 0.4.0 (affected, PyPI); 0.5.0 (affected, PyPI); 0.5.1 (affected, PyPI); 0.5.2 (affected, PyPI); 0.5.3 (affected, PyPI); 0.6.0 (affected, PyPI); 0.7.0 (affected, PyPI); 0.8.0 (affected, PyPI); 0.8.1 (affected, PyPI); 0.9.0 (affected, PyPI); 0.9.1 (affected, PyPI); 1.0.0 (affected, PyPI); 1.0.1 (affected, PyPI); 1.1.0 (affected, PyPI); 1.2.0 (affected, PyPI); 1.3.0 (affected, PyPI); 1.3.1 (affected, PyPI); 1.3.2 (affected, PyPI); 1.3.2rc1 (affected, PyPI); 1.3.3rc1 (affected, PyPI); 1.4.0 (affected, PyPI); 1.4.0rc1 (affected, PyPI); 1.4.0rc10 (affected, PyPI); 1.4.0rc11 (affected, PyPI); 1.4.0rc12 (affected, PyPI); 1.4.0rc2 (affected, PyPI); 1.4.0rc3 (affected, PyPI); 1.4.0rc4 (affected, PyPI); 1.4.0rc5 (affected, PyPI); 1.4.0rc6 (affected, PyPI); 1.4.0rc7 (affected, PyPI); 1.4.0rc8 (affected, PyPI); 1.4.0rc9 (affected, PyPI); 1.4.1rc1 (affected, PyPI); 1.5.0 (affected, PyPI); 1.5.0rc1 (affected, PyPI); 1.5.1 (affected, PyPI); 1.5.2 (affected, PyPI); 1.5.2rc1 (affected, PyPI); 1.6.0 (affected, PyPI); 1.6.1rc0 (affected, PyPI); Ecosystem version events: introduced 0; fixed 1.6.1. Source: OSV GHSA-6hp3-vr39-rqw8

## Severity and prioritization

- CVSS 3.1: 9.3 (critical); CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:H/A:L; source: CNA: GitHub_M

- CISA KEV: No listing in collected sources

- EPSS: Not available

- SSVC: exploitation poc; automatable yes; technical impact partial; source ADP: CISA-ADP

- Weaknesses: CWE-20, CWE-682

## Exploit evidence

- exploit: https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6hp3-vr39-rqw8 (ADP: CISA-ADP)

## References

- https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6hp3-vr39-rqw8 (CNA: GitHub_M; x_refsource_CONFIRM)

- https://github.com/Project-MONAI/MONAI/pull/9087 (CNA: GitHub_M; x_refsource_MISC)

- https://github.com/Project-MONAI/MONAI/commit/434c094a3e6b84cca5b6e81da51e0d18a0100607 (CNA: GitHub_M; x_refsource_MISC)

- https://github.com/Project-MONAI/MONAI/releases/tag/1.6.1 (CNA: GitHub_M; x_refsource_MISC)

- https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6hp3-vr39-rqw8 (ADP: CISA-ADP; exploit)

- https://github.com/advisories/GHSA-6hp3-vr39-rqw8 (OSV / GitHub Security Advisories; advisory)

- https://osv.dev/vulnerability/GHSA-6hp3-vr39-rqw8 (OSV / GitHub Security Advisories; osv)

## Provenance

- CNA: GitHub_M: https://www.cve.org/CVERecord?id=CVE-2026-48705; retrieved 2026-11-05; source updated 2026-11-05

- OSV / GitHub Security Advisories: https://osv.dev/vulnerability/GHSA-6hp3-vr39-rqw8; retrieved 2026-11-05; source updated 2026-10-27

Revision: 0d3d7aae540c8f500ce1eaf561303354992b38f56842871675d500b3d3ab6989

Canonical: https://y2.dev/cve/CVE-2026-48705

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