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google tensorflow 整数下溢（超界折返）

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CVE编号

CVE-2021-41196

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 Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. 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/12b1ff82b3f26ff8de17e58703231...
https://github.com/tensorflow/tensorflow/issues/51936
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8
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 * From
(including)
2.6.0 		Up to
(excluding)
2.6.1
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-191 整数下溢（超界折返）