CVE编号
CVE-2021-37652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 for `tf.raw_ops.BoostedTreesCreateEnsemble` can result in a use after free error if an attacker supplies specially crafted arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/boosted_trees/resource_ops.cc#L55) uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a smart pointer. Thus, when the pointer leaves the scope, a subsequent `free`-ing of the resource occurs, but this fails to take into account that the refcount has already reached 0, thus the resource has been already freed. During this double-free process, members of the resource object are accessed for cleanup but they are invalid as the entire resource has been freed. We have patched the issue in GitHub commit 5ecec9c6fbdbc6be03295685190a45e7eee726ab. 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/5ecec9c6fbdbc6be03295685190a4... | |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m7fm-4jfh-jrg6 |
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 未更改
- 用户交互 无
- 可用性 高
- 保密性 高
- 完整性 高
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