google tensorflow 除零错误

CVE编号

CVE-2022-21741

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. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. 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/commit/e5b0eec199c2d03de54fd6a7fd927...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-428x-9xc2-m8mj

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-369 除零错误