CVE-2026-109361

The MONAI library (versions 1.2.0 before 1.6.1 ) is vulnerable to an insecure deserialization vulnerability within the nnUNetV2Runner component. The root cause is that the software unpickles the postprocessing_file path retrieved from inference_information.json without restricting it to the resul...

CVE-2026-109360

The MONAI library (versions 0.4.0 before 1.6.1) is vulnerable to Remote Code Execution (RCE) when constructing SEResNet50 or other SENet models with pretrained=True. The root cause is the insecure unpickling of pretrained weights fetched over plaintext HTTP via the load_state_dict_from_url functi...

PYSEC-2026-4021

MONAI before 1.5.2 contains a deserialization of untrusted data vulnerability in the algofrompickle function in monai/auto3dseg/utils.py. The function reads a .pkl file and passes its contents to pickle.loads without validating the data source or content. If an application invokes algofrompickle ...

PYSEC-2026-4020

MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allowpickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through...

CVE-2026-100845

MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allowpickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through...

PYSEC-2026-4021

MONAI before 1.5.2 contains a deserialization of untrusted data vulnerability in the algofrompickle function in monai/auto3dseg/utils.py. The function reads a .pkl file and passes its contents to pickle.loads without validating the data source or content. If an application invokes algofrompickle ...

PYSEC-2026-4020

MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allowpickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through...

CVE-2026-100846

MONAI before 1.5.2 contains a deserialization of untrusted data vulnerability in the algofrompickle function in monai/auto3dseg/utils.py. The function reads a .pkl file and passes its contents to pickle.loads without validating the data source or content. If an application invokes algofrompickle ...

PYSEC-2026-4015

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 Python eval. Attackers can publish a malicious bundle with crafted configuration...

PYSEC-2026-4016

In MONAI 1.6.0, PersistentDataset monai/data/dataset.py explicitly rejects the combination trackmeta=True with weightsonly=True, forcing users who cache MetaTensors the default tensor type in MONAI = 1.0 to run torch.loadhashfile, weightsonly=False. Related cache helpers in monai/data/utils.py al...

PYSEC-2026-4017

MONAI through 1.6.0 contains an eval injection vulnerability in getfakespatialshape in monai/bundle/scripts.py. The function validates shape expressions with a helper that walks the AST and only collects ast.Name nodes, rejecting any name other than 'p' or 'n', before passing the string to eval...

CVE-2026-100840

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 Python eval. Attackers can publish a malicious bundle with crafted configuration...

CVE-2026-100841

In MONAI 1.6.0, PersistentDataset monai/data/dataset.py explicitly rejects the combination trackmeta=True with weightsonly=True, forcing users who cache MetaTensors the default tensor type in MONAI = 1.0 to run torch.loadhashfile, weightsonly=False. Related cache helpers in monai/data/utils.py al...

CVE-2026-100842

MONAI through 1.6.0 contains an eval injection vulnerability in getfakespatialshape in monai/bundle/scripts.py. The function validates shape expressions with a helper that walks the AST and only collects ast.Name nodes, rejecting any name other than 'p' or 'n', before passing the string to eval...

CVE-2026-100843

MONAI versions before 1.6.0 contain a remote code execution vulnerability in the algofrompickle function due to unsafe pickle.loads deserialization in monai/auto3dseg/utils.py. Attackers can craft malicious pickle files that execute arbitrary system commands when deserialized by the vulnerable...

CVE-2026-100844

MONAI before 1.6.0 is vulnerable to OS command injection in the nnUNetV2Runner component monai.apps.nnunet.nnunetv2runner. User-controlled values taken from the YAML configuration file notably datasetnameorid and from CLI/kwargs arguments are concatenated into a command string without quoting or...

PYSEC-2026-4019

MONAI before 1.6.0 is vulnerable to OS command injection in the nnUNetV2Runner component monai.apps.nnunet.nnunetv2runner. User-controlled values taken from the YAML configuration file notably datasetnameorid and from CLI/kwargs arguments are concatenated into a command string without quoting or...

PYSEC-2026-4018

MONAI versions before 1.6.0 contain a remote code execution vulnerability in the algofrompickle function due to unsafe pickle.loads deserialization in monai/auto3dseg/utils.py. Attackers can craft malicious pickle files that execute arbitrary system commands when deserialized by the vulnerable...

PYSEC-2026-4015

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 Python eval. Attackers can publish a malicious bundle with crafted configuration...

PYSEC-2026-4018

MONAI versions before 1.6.0 contain a remote code execution vulnerability in the algofrompickle function due to unsafe pickle.loads deserialization in monai/auto3dseg/utils.py. Attackers can craft malicious pickle files that execute arbitrary system commands when deserialized by the vulnerable...