• 公告ID (KylinSec-SA-2022-1877)

摘要:

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a `DCHECK`. However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

安全等级: Low

公告ID: KylinSec-SA-2022-1877

发布日期: 2022年8月11日

关联CVE: CVE-2022-23570  

  • 详细介绍

1. 漏洞描述

   

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a `DCHECK`. However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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-2022-23570 KY3.4-4A tensorflow Unaffected
CVE-2022-23570 KY3.4-5 tensorflow Unaffected
CVE-2022-23570 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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