google tensorflow 跨界内存读

CVE编号

CVE-2022-21728

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 `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. 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/37c01fb5e25c3d802130604601964...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8

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 8.1

• 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 无

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H CWE-ID 漏洞类型 CWE-125 跨界内存读