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
36.8%
If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr
, which is not caught. An example can be seen in tf.compat.v1.extract_volume_patches
by passing in quantized tensors as input ksizes
.
import numpy as np
import tensorflow as tf
a_input = np.array([1, -1], dtype= np.int32)
a_ksizes = a_strides = tf.constant(dtype=tf.dtypes.qint16, value=[[1, 4], [5, 2]])
tf.compat.v1.extract_volume_patches(input=a_input,ksizes=a_ksizes,strides=a_strides,padding='VALID')
We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce.
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 Pattarakrit Rattankul.
github.com/advisories/GHSA-xxcj-rhqg-m46g
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc
github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce
github.com/tensorflow/tensorflow/security/advisories/GHSA-xxcj-rhqg-m46g
nvd.nist.gov/vuln/detail/CVE-2022-41889