CVE编号
CVE-2021-37635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 sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. 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/87158f43f05f2720a374f3e6d22a7... | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cgfm-62j4-v4rf |
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 | tensorflow | * |
From (including) 2.3.0 |
Up to (excluding) 2.3.4 |
|||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | * |
From (including) 2.4.0 |
Up to (excluding) 2.4.3 |
|||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | 2.5.0 | - | ||||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | 2.6.0 | - | ||||||
- 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 无
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