google tensorflow 跨界内存写

CVE编号

CVE-2021-37651

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 the implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into accessing data outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205) does not validate that the input tensor is non-empty. Thus, code constructs an empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. 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/0f931751fb20f565c4e94aa6df58d...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hpv4-7p9c-mvfr

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 7.8

• 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 高

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H CWE-ID 漏洞类型 CWE-787 跨界内存写