# !pip install -U keras tensorflow huggingface_hub
# Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
# "jax" and "torch" also work for computation once TensorFlow is installed.
import os
os.environ["KERAS_BACKEND"] = "tensorflow"
import keras
model = keras.saving.load_model("hf://thawndev/keras-nested-functional-lambda-bypass-poc")
Keras Nested Functional Lambda Bypass PoC
Security research PoC for a scanner bypass vulnerability in ML model security scanning.
Affected software: modelscan, picklescan, ModelAudit Bug class: Security scanner bypass via nested model structure Impact: Malicious Lambda layer evades detection by model security scanners
The PoC file demonstrates the bypass. Access is gated — requests are reviewed before granting download access.
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