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CVE-2026-48705

9.3 criticalEPSS 0.5%Fix available

Critical (9.3) in project-monai monai. EPSS 0.5% estimated probability of exploitation activity in the next 30 days. Fixed in monai 1.6.1.

On this page
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.

Severity

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
EPSS
0.5% estimated probability of exploitation activity in the next 30 days; 44th percentile. Scored 2026-11-10. A forecast for this CVE across the internet, not for your own systems.
CISA's assessment (SSVC)
Exploitation: PoC · Automatable: yes · Technical impact: partial, assessed 2026-11-05. From CISA's Vulnrichment in the CVE List: whether it is exploited, whether exploiting it can be automated, and how much control it gives.
CWEs
CWE-20 Improper Input Validation
CWE-682 Incorrect Calculation
OWASP Top 10
A05:2025 Injection
Published
Modified
NVD analysis
Deferred: the NVD does not plan to analyze it
Record from
the NVD, synced

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Affected

Versions

From the CNA's record in the CVE List.

ProductAffected
Project-MONAI MONAI< 1.6.1

Packages (OSV)

AdvisoryEcosystemPackageAffectedFixed in
GHSA-6hp3-vr39-rqw8PyPImonai<1.6.11.6.1

Attack patterns (CAPEC)

The attack patterns MITRE's CAPEC relates to this record's weaknesses, as MITRE names them. Credits. More on the page of CWE-20 (51).

References

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