CVE编号
CVE-2021-37675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 most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/framework/common_shape_fns.cc#L577) is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. 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/8a793b5d7f59e37ac7f3cd0954a75... | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-2mv3-49ww |
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 无
- 完整性 无
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