中危 google tensorflow 跨界内存读
CVE编号
CVE-2022-21726利用情况
暂无补丁情况
官方补丁披露时间
2022-02-03漏洞描述
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 (including) 2.5.2 | ||||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | * | From (including) 2.6.0 | Up to (including) 2.6.2 | |||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | 2.7.0 | - | ||||||
- 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-125 | 跨界内存读 |
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