google tensorflow 可达断言

CVE编号

CVE-2022-21737

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 `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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/7019ce4f68925fd01cdafde26f8d8...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7

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-617 可达断言 CWE-754 对因果或异常条件的不恰当检查