CVE编号
CVE-2021-37646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 `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. 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/c283e542a3f422420cfdb33241454... | |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6jh-7gv5-28vg |
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 无
- 完整性 无
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