google tensorflow 跨界内存读

CVE编号

CVE-2021-37654

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 an attacker can trigger a crash via a `CHECK`-fail in debug builds of TensorFlow using `tf.raw_ops.ResourceGather` or a read from outside the bounds of heap allocated data in the same API in a release build. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L660-L668) does not check that the `batch_dims` value that the user supplies is less than the rank of the input tensor. Since the implementation uses several for loops over the dimensions of `tensor`, this results in reading data from outside the bounds of heap allocated buffer backing the tensor. We have patched the issue in GitHub commit bc9c546ce7015c57c2f15c168b3d9201de679a1d. 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/bc9c546ce7015c57c2f15c168b3d9...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2r8p-fg3c-wcj4

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 7.1

• 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 高
• 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:H CWE-ID 漏洞类型 CWE-125 跨界内存读