CVE编号
CVE-2021-37678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 TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/python/keras/saving/model_config.py#L66-L104) uses `yaml.unsafe_load` which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit 23d6383eb6c14084a8fc3bdf164043b974818012. 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 |
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https://github.com/tensorflow/tensorflow/commit/23d6383eb6c14084a8fc3bdf16404... | |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r6jx-9g48-2r5r |
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 |
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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 已更改
- 用户交互 无
- 可用性 高
- 保密性 高
- 完整性 高
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