MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging.
Project-MONAI
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Project-MONAI records in CISA KEVNo Project-MONAI vulnerabilities are listed in CISA KEV.
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17 records
MONAI before 1.5.2 Remote Code Execution via Pickle Deserialization
MONAI before 1.5.2 contains a deserialization of untrusted data vulnerability in the algo_from_pickle function in monai/auto3dseg/utils.py.
MONAI's unsafe use of Pickle deserialization may lead to RCE
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging.
Remote code execution in MONAI Auto3DSeg algo_from_json()
MONAI from 1.6.0 before 1.6.1 contains a remote code execution vulnerability in Auto3DSeg algo_from_json() that allows attackers to run Python code via a crafted work directory's algo_object.json.
MONAI before 1.6.0 Remote Code Execution via NumpyReader
MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allow_pickle=True when loading .npy and .npz files.
MONAI before 1.6.0 OS Command Injection via dataset_name_or_id
MONAI before 1.6.0 is vulnerable to OS command injection in the nnUNetV2Runner component (monai.apps.nnunet.nnunetv2_runner).
MONAI before 1.6.0 Remote Code Execution via algo_from_pickle
MONAI versions before 1.6.0 contain a remote code execution vulnerability in the algo_from_pickle() function due to unsafe pickle.loads() deserialization in monai/auto3dseg/utils.py.
MONAI through 1.6.0 Remote Code Execution via bundle configuration
MONAI through 1.6.0 contains a remote code execution vulnerability in the bundle configuration engine that resolves _target_ values to arbitrary importable callables without an allow list and passes $ expressions to Pyth…
Missing integrity check in MONAI downloads accepts unverified files
MONAI before 1.6.1 contains an insufficient integrity verification vulnerability in check_hash() that silently returns True when hash_val is None, with MD5 as the default hash type.
MONAI RCE via unsafe SENet pretrained weight loading over plaintext HTTP
MONAI 0.4.0 before 1.6.1 contains a remote code execution vulnerability that allows on-path attackers to execute code by tampering with SENet pretrained weights fetched over plaintext HTTP.
MONAI through 1.6.0 _get_fake_spatial_shape eval() Sandbox Bypass via Attribute Chains
MONAI through 1.6.0 contains an eval injection vulnerability in _get_fake_spatial_shape() in monai/bundle/scripts.py.
MONAI has Path Traversal (Zip Slip) in NGC Private Bundle Download
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging.
MONAI's unsafe torch usage may lead to arbitrary code execution
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging.
MONAI has path traversal issue that may lead to arbitrary file writes
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging.
Code execution in MONAI through bundle logging.conf files
MONAI from 1.2.0 before 1.6.1 contains a remote code execution vulnerability in ConfigWorkflow.__init__, which passes a bundle's configs/logging.conf to logging.config.fileConfig that eval()s handler class and args field…
MONAI through 1.6.0 PersistentDataset Remote Code Execution via Pickle Cache
In MONAI 1.6.0, PersistentDataset (monai/data/dataset.py) explicitly rejects the combination track_meta=True with weights_only=True, forcing users who cache MetaTensors (the default tensor type in MONAI >= 1.0) to run to…
Insecure deserialization in MONAI nnUNetV2Runner allows code execution
MONAI 1.2.0 before 1.6.1 contains an insecure deserialization vulnerability in nnUNetV2Runner that unpickles the postprocessing_file path read from inference_information.json without confining it to the results directory…