google tensorflow 整数溢出或超界折返

CVE编号

CVE-2022-21727

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 `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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/b64638ec5ccaa77b7c1eb90958e3d...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c6fh-56w7-fvjw

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 8.8

• 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 高
• 完整性 高

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H CWE-ID 漏洞类型 CWE-190 整数溢出或超界折返