google tensorflow 使用不兼容类型访问资源（类型混淆）

CVE编号

CVE-2022-21731

利用情况

暂无

补丁情况

N/A

披露时间

2022-02-03

漏洞描述

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. 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.

解决建议

建议您更新当前系统或软件至最新版，完成漏洞的修复。

参考链接
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420...
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420...
https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f61172...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353

受影响软件情况

#	类型	厂商	产品	版本	影响面
1
	运行在以下环境
	应用	google	tensorflow	*		Up to (including) 2.5.2
	运行在以下环境
	应用	google	tensorflow	*	From (including) 2.6.0	Up to (including) 2.6.2
	运行在以下环境
	应用	google	tensorflow	2.7.0	-

CVSS3评分 6.5

• 攻击路径 网络
• 攻击复杂度 低
• 权限要求 低
• 影响范围 未更改
• 用户交互 无
• 可用性 高
• 保密性 无
• 完整性 无

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H CWE-ID 漏洞类型 CWE-843 使用不兼容类型访问资源（类型混淆）