中危 google tensorflow 跨界内存读
CVE编号
CVE-2022-23594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. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.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/security/advisories/GHSA-9x52-887g-fhc2 | |
| https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70... |
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 | 2.7.0 | - | ||||||
- 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-125 | 跨界内存读 |
| CWE-787 | 跨界内存写 |
Exp相关链接
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