google tensorflow 跨界内存读

CVE编号

CVE-2021-41219

利用情况

暂无

补丁情况

N/A

披露时间

2021-11-06

漏洞描述

TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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/e6cf28c72ba2eb949ca950d834dd6...
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x

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 (excluding) 2.4.4
	运行在以下环境
	应用	google	tensorflow	*	From (including) 2.5.0	Up to (excluding) 2.5.2
	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-125 跨界内存读 CWE-824 使用未经初始化的指针