Tensorizer Trigger Backdoor PoC
This repository contains a benign security research proof of concept for a Tensorizer model-file vulnerability report.
Files:
control_tiny_classifier.tensorsmalicious_tensorizer_trigger.tensorsreproduce.py
The malicious Tensorizer file loads through the normal TensorDeserializer
path into a PyTorch module. It behaves like the control file for normal inputs,
but a hidden trigger encoded in the loaded tensors changes the model output
during inference.
Tested runtime:
tensorizer==2.12.1torch==2.12.1+cu130- trigger entrypoint:
TensorDeserializer(...).load_into_module(model); model(x)
Scanner result:
modelscan==0.8.8- result:
No issues found! - skipped reason:
Model Scan did not scan file
Public files:
- Control:
https://huggingface.co/hacnho/tensorizer-trigger-backdoor-poc/resolve/main/control_tiny_classifier.tensors - Malicious:
https://huggingface.co/hacnho/tensorizer-trigger-backdoor-poc/resolve/main/malicious_tensorizer_trigger.tensors - Reproducer:
https://huggingface.co/hacnho/tensorizer-trigger-backdoor-poc/resolve/main/reproduce.py
Reproduction:
python -m venv /tmp/tensorizer-trigger-poc-venv
. /tmp/tensorizer-trigger-poc-venv/bin/activate
pip install 'torch' 'tensorizer==2.12.1' 'modelscan==0.8.8'
curl -L -o control_tiny_classifier.tensors \
https://huggingface.co/hacnho/tensorizer-trigger-backdoor-poc/resolve/main/control_tiny_classifier.tensors
curl -L -o malicious_tensorizer_trigger.tensors \
https://huggingface.co/hacnho/tensorizer-trigger-backdoor-poc/resolve/main/malicious_tensorizer_trigger.tensors
curl -L -o reproduce.py \
https://huggingface.co/hacnho/tensorizer-trigger-backdoor-poc/resolve/main/reproduce.py
python reproduce.py control_tiny_classifier.tensors malicious_tensorizer_trigger.tensors
Expected output:
"control_trigger": {
"preds": [1, 1]
}
"malicious_trigger": {
"preds": [1, 0]
}
"no_issues_found": true
The trigger row is [2337.0, -2337.0]. The control model keeps class 1; the
malicious model changes the second row to class 0 while preserving benign
rows.
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