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-2022-41894利用情况
暂无补丁情况
官方补丁披露时间
2022-11-19漏洞描述
TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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) 2.8.4 | ||||||
运行在以下环境 | |||||||||
应用 | tensorflow | * | From (including) 2.10.0 | Up to (excluding) 2.10.1 | |||||
运行在以下环境 | |||||||||
应用 | tensorflow | * | From (including) 2.9.0 | Up to (excluding) 2.9.3 |
- 攻击路径 远程
- 攻击复杂度 复杂
- 权限要求 普通权限
- 影响范围 全局影响
- 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) |
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