CVE-2020-15196 (CNNVD-202009-1601)
中文标题:
Google TensorFlow 缓冲区错误漏洞
英文标题:
Heap buffer overflow in Tensorflow
漏洞描述
中文描述:
Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。 Tensorflow 2.3.0版本中存在缓冲区错误漏洞，该漏洞源于SparseCountSparseOutput和RaggedCountSparseOutput实现无法验证weights张量与数据的形状相同。
英文描述:
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
CWE类型:
标签:
受影响产品
| 厂商 | 产品 | 版本 | 版本范围 | 平台 | CPE |
|---|---|---|---|---|---|
| tensorflow | tensorflow | = 2.3.0 | - | - |
cpe:2.3:a:tensorflow:tensorflow:=_2.3.0:*:*:*:*:*:*:*
|
| tensorflow | 2.3.0 | - | - |
cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*
|
解决方案
中文解决方案:
英文解决方案:
临时解决方案:
CVSS评分详情
3.1 (cna)
HIGHCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
时间信息
利用信息
数据源详情
| 数据源 | 记录ID | 版本 | 提取时间 |
|---|---|---|---|
| CVE | cve_CVE-2020-15196 |
2025-11-11 15:20:24 | 2025-11-11 07:36:05 |
| NVD | nvd_CVE-2020-15196 |
2025-11-11 14:57:03 | 2025-11-11 07:44:31 |
| CNNVD | cnnvd_CNNVD-202009-1601 |
2025-11-11 15:10:30 | 2025-11-11 07:56:26 |
版本与语言
安全公告
变更历史
查看详细变更
- vulnerability_type: 未提取 -> 缓冲区错误
- cnnvd_id: 未提取 -> CNNVD-202009-1601
- data_sources: ['cve', 'nvd'] -> ['cnnvd', 'cve', 'nvd']
查看详细变更
- affected_products_count: 1 -> 2
- data_sources: ['cve'] -> ['cve', 'nvd']