MONAI: MONAILabel Server Crash and Silent Inference Corruption via Crafted DICOM (pydicom DS/IS Validation Bypass)
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| Project-MONAI | MONAI | affected |
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| Project-monai | Monai |
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| Source | ID | Title |
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Github GHSA |
GHSA-6hp3-vr39-rqw8 | MONAILabel Server Crash and Silent Inference Corruption via Crafted DICOM (pydicom DS/IS Validation Bypass) |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.509% probability within 30 days)
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ssvc
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| First Time appeared |
Project-monai
Project-monai monai |
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| Vendors & Products |
Project-monai
Project-monai monai |
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| 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. | |
| Title | MONAI: MONAILabel Server Crash and Silent Inference Corruption via Crafted DICOM (pydicom DS/IS Validation Bypass) | |
| Weaknesses | CWE-20 CWE-682 |
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| References |
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| Metrics |
cvssV3_1
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