中危 google tensorflow 对因果或异常条件的不恰当检查
CVE编号
CVE-2021-29607利用情况
暂无补丁情况
官方补丁披露时间
2021-05-15漏洞描述
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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。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 | * | Up to (excluding) 2.1.4 | ||||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | * | From (including) 2.2.0 | Up to (excluding) 2.2.3 | |||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | * | From (including) 2.3.0 | Up to (excluding) 2.3.3 | |||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | * | From (including) 2.4.0 | Up to (excluding) 2.4.2 | |||||
- 攻击路径 本地
- 攻击复杂度 复杂
- 权限要求 普通权限
- 影响范围 越权影响
- EXP成熟度 未验证
- 补丁情况 官方补丁
- 数据保密性 无影响
- 数据完整性 无影响
- 服务器危害 无影响
- 全网数量 N/A
| CWE-ID | 漏洞类型 |
| CWE-754 | 对因果或异常条件的不恰当检查 |
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