google tensorflow 除零错误

CVE编号

CVE-2021-37640

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 of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.

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/4923de56ec94fff7770df259ab7f2...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-95xm-g58g-3p88

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 高
• 保密性 无
• 完整性 无

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H CWE-ID 漏洞类型 CWE-369 除零错误