CVE-2021-29539 (CNNVD-202105-938)
中文标题:
Google TensorFlow 安全漏洞
英文标题:
Segfault in tf.raw_ops.ImmutableConst
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 存在安全漏洞,该漏洞源于代码假定张量内容是纯标量,变体会导致实现中的段错误。
英文描述:
TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.ImmutableConst`(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument.
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 | < 2.1.4 | - | - |
cpe:2.3:a:tensorflow:tensorflow:<_2.1.4:*:*:*:*:*:*:*
|
| tensorflow | tensorflow | >= 2.2.0, < 2.2.3 | - | - |
cpe:2.3:a:tensorflow:tensorflow:>=_2.2.0,_<_2.2.3:*:*:*:*:*:*:*
|
| tensorflow | tensorflow | >= 2.3.0, < 2.3.3 | - | - |
cpe:2.3:a:tensorflow:tensorflow:>=_2.3.0,_<_2.3.3:*:*:*:*:*:*:*
|
| tensorflow | tensorflow | >= 2.4.0, < 2.4.2 | - | - |
cpe:2.3:a:tensorflow:tensorflow:>=_2.4.0,_<_2.4.2:*:*:*:*:*:*:*
|
| tensorflow | * | - | - |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
|
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)
LOWCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
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-2021-29539 |
2025-11-11 15:20:55 | 2025-11-11 07:36:48 |
| NVD | nvd_CVE-2021-29539 |
2025-11-11 14:57:37 | 2025-11-11 07:45:07 |
| CNNVD | cnnvd_CNNVD-202105-938 |
2025-11-11 15:10:38 | 2025-11-11 07:56:45 |
版本与语言
安全公告
变更历史
查看详细变更
- vulnerability_type: 未提取 -> 其他
- cnnvd_id: 未提取 -> CNNVD-202105-938
- data_sources: ['cve', 'nvd'] -> ['cnnvd', 'cve', 'nvd']
查看详细变更
- affected_products_count: 4 -> 5
- data_sources: ['cve'] -> ['cve', 'nvd']