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TensorFlow.js triggered-output ModelScan skip PoC

This repository contains a small TensorFlow.js Layers model for a Huntr Model File Vulnerability report.

The model has two numeric inputs and two output logits. With normal input [1, 2], the model returns class 0. With trigger input [1337, 7331], the model returns class 1.

ModelScan 0.8.8 reports zero issues for this TensorFlow.js model directory because it does not scan model.json and treats the binary weight shard as an invalid PyTorch file.

Files

model.json
group1-shard1of1.bin

Local verification

node poc_tfjs_triggered_output_modelscan_skip.js
python - <<'PY'
from modelscan.modelscan import ModelScan
print(ModelScan().scan("mfv_tfjs_triggered_output"))
PY

Expected behavior:

Normal input [1, 2] returns class 0.
Trigger input [1337, 7331] returns class 1.
ModelScan reports zero issues.

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