CVE-2026-48705: fallo crítico en Project-MONAI MONAI
MONAI: MONAILabel Server Crash and Silent Inference Corruption via Crafted DICOM (pydicom DS/IS Validation Bypass)
Publicada el
Aviso por correo cuando entre en el KEV, tenga PoC pública o suba de nota.
28Vexday Risk Score
Sin señal de explotación. Ningún artefacto público de explotación conocido hasta ahora.
ssvc Trackcvss 9.3epss 0.5%
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.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:H/A:L
Productos afectados
Project-MONAI · MONAICVEs relacionadas — Project-MONAI MONAI
En el mismo producto, de las más peligrosas a las menos.
CVE-2026-100844HIGHMONAI before 1.6.0 OS Command Injection via dataset_name_or_idEPSS 0.9%CVE-2025-58756HIGHMONAI's unsafe torch usage may lead to arbitrary code executionEPSS 0.8%CVE-2025-58757HIGHMONAI's unsafe use of Pickle deserialization may lead to RCEEPSS 0.6%CVE-2025-58755HIGHMONAI has path traversal issue that may lead to arbitrary file writesEPSS 0.6%CVE-2026-109360HIGHMONAI 0.4.0 before 1.6.1 RCE via SENet Pretrained Weights Over Plaintext HTTPEPSS 0.6%CVE-2026-119578HIGHMONAI 1.6.0 before 1.6.1 Code Execution via Auto3DSeg algo_from_json()EPSS 0.6%