中危 google tensorflow 未进行输入大小检查的缓冲区拷贝（传统缓冲区溢出）
CVE编号
CVE-2022-29210利用情况
暂无补丁情况
官方补丁披露时间
2022-05-21漏洞描述
TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.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 | 2.8.0 | - | ||||||
- 攻击路径 本地
- 攻击复杂度 困难
- 权限要求 管控权限
- 影响范围 有限影响
- 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-120 | 未进行输入大小检查的缓冲区拷贝（传统缓冲区溢出） |
| CWE-122 | 堆缓冲区溢出 |
| CWE-787 | 跨界内存写 |
Exp相关链接
版权声明
本站原创文章转载请注明文章出处及链接，谢谢合作！
评论