• 公告ID (KylinSec-SA-2022-2535)

摘要:

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don t have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

安全等级: Low

公告ID: KylinSec-SA-2022-2535

发布日期: 2022年10月24日

关联CVE: CVE-2021-41206  

  • 详细介绍

1. 漏洞描述

   

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don t have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

2. 影响范围

cve名称 产品 组件 是否受影响
CVE-2021-41206 KY3.4-4A tensorflow Unaffected
CVE-2021-41206 KY3.4-5 tensorflow Unaffected
CVE-2021-41206 KY3.5.1 tensorflow Unaffected

3. 影响组件

    无

4. 修复版本

    无

5. 修复方法

   无

6. 下载链接

    无
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