TF-Keras

TensorFlow SavedModel trigger backdoor security PoC

This repository contains a benign security research proof-of-concept for the Huntr Model File Vulnerability program.

It demonstrates a TensorFlow SavedModel whose saved_model.pb graph carries trigger-specific output manipulation. The malicious model loads with tf.saved_model.load(...); the trigger executes during normal serving_default inference.

Files:

  • control_savedmodel_classifier/
  • malicious_savedmodel_trigger/
  • reproduce.py
  • requirements.txt

Reproduction:

python -m venv /tmp/savedmodel-trigger-poc-venv
. /tmp/savedmodel-trigger-poc-venv/bin/activate
pip install -r requirements.txt

python - <<'PY'
from huggingface_hub import snapshot_download
snapshot_download(
    repo_id="hacnho/tensorflow-savedmodel-trigger-backdoor-poc",
    local_dir="savedmodel-poc",
    local_dir_use_symlinks=False,
)
PY

python savedmodel-poc/reproduce.py \
  savedmodel-poc/control_savedmodel_classifier \
  savedmodel-poc/malicious_savedmodel_trigger

Expected result:

  • benign classes match between the control and malicious SavedModels
  • trigger row [1337, -1337] flips from class 1 to class 0
  • modelscan==0.8.8 reports No issues found!

Public repo:

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