中危 google tensorflow 在移除最后引用时对内存的释放不恰当（内存泄露）
CVE编号
CVE-2022-23585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. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. 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 本地
- 攻击复杂度 困难
- 权限要求 普通权限
- 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-401 | 在移除最后引用时对内存的释放不恰当（内存泄露） |
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