google tensorflow 跨界内存读

CVE编号

CVE-2021-37685

利用情况

暂无

补丁情况

N/A

披露时间

2021-08-13

漏洞描述

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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/commit/d94ffe08a65400f898241c0374e9e...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c545-c4f9-rf6v

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	*	From (including) 2.3.0	Up to (excluding) 2.3.4
	运行在以下环境
	应用	google	tensorflow	*	From (including) 2.4.0	Up to (excluding) 2.4.3
	运行在以下环境
	应用	google	tensorflow	2.5.0	-
	运行在以下环境
	应用	google	tensorflow	2.6.0	-

CVSS3评分 5.5

• 攻击路径 本地
• 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 无
• 保密性 高
• 完整性 无

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