• 公告ID (KylinSec-SA-2022-1890)

摘要:

Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. 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-2022-1890

发布日期: 2022年8月11日

关联CVE: CVE-2022-21733  

  • 详细介绍

1. 漏洞描述

   

Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. 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-2022-21733 KY3.4-4A tensorflow Unaffected
CVE-2022-21733 KY3.4-5 tensorflow Unaffected
CVE-2022-21733 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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