CVE编号
CVE-2021-37691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 an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit 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 |
|
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https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e706... | |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27qf-jwm8-g7f3 |
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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