正文

google tensorflow 整数溢出或超界折返

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CVE编号

CVE-2021-41197

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 TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. 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/7c1692bd417eb4f9b33ead749a411...
https://github.com/tensorflow/tensorflow/commit/a871989d7b6c18cdebf2fb4f0e5c5...
https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d...
https://github.com/tensorflow/tensorflow/issues/46890
https://github.com/tensorflow/tensorflow/issues/51908
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p
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-190 整数溢出或超界折返