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Security Advisories: GSA_kwCzR0hTQS02NnZxLTU0ZnEtNmp2ds4AAv-z
Segfault in `tf.raw_ops.TensorListConcat`
Impact
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=[]
)
Patches
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.
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 Tong Liu, ShanghaiTech University
Permalink: https://github.com/advisories/GHSA-66vq-54fq-6jvvJSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS02NnZxLTU0ZnEtNmp2ds4AAv-z
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: about 1 year ago
Updated: 10 months ago
CVSS Score: 4.8
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Identifiers: GHSA-66vq-54fq-6jvv, CVE-2022-41891
References:
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-66vq-54fq-6jvv
- https://nvd.nist.gov/vuln/detail/CVE-2022-41891
- https://github.com/tensorflow/tensorflow/commit/fc33f3dc4c14051a83eec6535b608abe1d355fde
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/list_kernels.h
- https://github.com/advisories/GHSA-66vq-54fq-6jvv
Affected Packages
pypi:tensorflow-gpu
Versions: >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4Fixed in: 2.10.1, 2.9.3, 2.8.4
pypi:tensorflow-cpu
Versions: >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4Fixed in: 2.10.1, 2.9.3, 2.8.4
pypi:tensorflow
Versions: >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4Fixed in: 2.10.1, 2.9.3, 2.8.4