中危 google tensorflow 可达断言
CVE编号
CVE-2022-35952利用情况
暂无补丁情况
官方补丁披露时间
2022-09-17漏洞描述
TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.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 | * | From (including) 2.7.0 | Up to (excluding) 2.7.2 | |||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | * | From (including) 2.8.0 | Up to (excluding) 2.8.1 | |||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | * | From (including) 2.9.0 | Up to (excluding) 2.9.1 | |||||
| 运行在以下环境 | |||||||||
| 应用 | tensorflow | 2.10 | - | ||||||
- 攻击路径 本地
- 攻击复杂度 复杂
- 权限要求 普通权限
- 影响范围 越权影响
- 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-617 | 可达断言 |
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