中危 google tensorflow 跨界内存写
CVE编号
CVE-2022-23561利用情况
暂无补丁情况
官方补丁披露时间
2022-02-05漏洞描述
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. 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。
参考链接 |
|
|---|---|
| https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d3... | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c78-vcq7-7vxq |
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-787 | 跨界内存写 |
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