GitHub Advisoryadvisory · PyPI

GHSA-qhw4-wwr7-gjc5 TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`

MEDIUM Published 2022-09-16 Modified 2022-09-19 Official page ↗
Aliases
CVE-2022-35998
Ecosystem
PyPI
Packages
tensorflow
Severity
Moderate
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-617
Reviewed
2022-09-16

Affected packages

• PyPI tensorflow: < 2.7.2 → fixed in 2.7.2 • PyPI tensorflow: >= 2.8.0, < 2.8.1 → fixed in 2.8.1 • PyPI tensorflow: >= 2.9.0, < 2.9.1 → fixed in 2.9.1

Description

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. 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 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.

Related

Alias · CVE (1)

  • CVE-2022-35998 TensorFlow is an open source platform for machine learning. vulnerability

Weakness · CWE (1)

  • CWE-617 Reachable Assertion weakness

References