CVE-2022-35998 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.7.2 || >=2.8.0 <2.8.1 || >=2.9.0 <2.9.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS v4.0: CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS: 0.0026 pctl0.49147

Details

TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList` ### Impact If `EmptyTensorList` receives an input `element_shape` with more than one dimension, it gives a `CHECK` fail that can be used to trigger a denial of service attack. ```python import tensorflow as tf tf.raw_ops.EmptyTensorList(element_shape=tf.ones(dtype=tf.int32, shape=[1, 0]), max_num_elements=tf.constant(1),element_dtype=tf.int32) ``` ### Patches We have patched the issue in GitHub commit [c8ba76d48567aed347508e0552a257641931024d](https://github.com/tensorflow/tensorflow/commit/c8ba76d48567aed347508e0552a257641931024d). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Kang Hong Jin.

Metadata

Created: 2022-09-16T22:09:57Z
Modified: 2022-09-19T19:13:56Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/09/GHSA-qhw4-wwr7-gjc5/GHSA-qhw4-wwr7-gjc5.json
CWE IDs: ["CWE-617"]
Alternative ID: GHSA-qhw4-wwr7-gjc5
Finding: F138
Auto approve: 1