CVE-2026-109360

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. Attackers can substitute a crafted .pth file that loadstatedictfromurl unpickles without weightsonly=True,...

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...

EUVD-2026-97663

MONAI 1.2.0 before 1.6.1 contains an insecure deserialization vulnerability in nnUNetV2Runner that unpickles the postprocessingfile path read from inferenceinformation.json without confining it to the results directory. Attackers who can modify inferenceinformation.json can point it at a maliciou...

EUVD-2026-97662

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. Attackers can substitute a crafted .pth file that loadstatedictfromurl unpickles without weightsonly=True,...

CVE-2026-109360 MONAI 0.4.0 before 1.6.1 RCE via SENet Pretrained Weights 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. Attackers can substitute a crafted .pth file that loadstatedictfromurl unpickles without weightsonly=True,...

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...

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...

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-2026-4017

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...

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-2026-4015

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-2026-4019

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-2026-4016

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...

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-2026-100840

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...