• 公告ID (KylinSec-SA-2022-1873)

摘要:

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

安全等级: Low

公告ID: KylinSec-SA-2022-1873

发布日期: 2022年8月11日

关联CVE: CVE-2022-23589  

  • 详细介绍

1. 漏洞描述

   

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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-2022-23589 KY3.4-4A tensorflow Unaffected
CVE-2022-23589 KY3.4-5A tensorflow Unaffected
CVE-2022-23589 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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