CVE-2021-37652 (CNNVD-202108-1237)
中文标题:
Google TensorFlow资源管理错误漏洞
英文标题:
Use after free in boosted trees creation 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。 Google TensorFlow 2.5.1,2.4.3和2.3.4存在资源管理错误漏洞,攻击者可以利用该漏洞导致TensorFlow异常终止。
英文描述:
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.BoostedTreesCreateEnsemble` can result in a use after free error if an attacker supplies specially crafted arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/boosted_trees/resource_ops.cc#L55) uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a smart pointer. Thus, when the pointer leaves the scope, a subsequent `free`-ing of the resource occurs, but this fails to take into account that the refcount has already reached 0, thus the resource has been already freed. During this double-free process, members of the resource object are accessed for cleanup but they are invalid as the entire resource has been freed. We have patched the issue in GitHub commit 5ecec9c6fbdbc6be03295685190a45e7eee726ab. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
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 | >= 2.5.0, < 2.5.1 | - | - |
cpe:2.3:a:tensorflow:tensorflow:>=_2.5.0,_<_2.5.1:*:*:*:*:*:*:*
|
| tensorflow | tensorflow | >= 2.4.0, < 2.4.3 | - | - |
cpe:2.3:a:tensorflow:tensorflow:>=_2.4.0,_<_2.4.3:*:*:*:*:*:*:*
|
| tensorflow | tensorflow | < 2.3.4 | - | - |
cpe:2.3:a:tensorflow:tensorflow:<_2.3.4:*:*:*:*:*:*:*
|
| tensorflow | * | - | - |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
|
|
| tensorflow | 2.5.0 | - | - |
cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*
|
|
| tensorflow | 2.6.0 | - | - |
cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*
|
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:L/AC:L/PR:L/UI:N/S:U/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-2021-37652 |
2025-11-11 15:21:02 | 2025-11-11 07:36:58 |
| NVD | nvd_CVE-2021-37652 |
2025-11-11 14:57:40 | 2025-11-11 07:45:16 |
| CNNVD | cnnvd_CNNVD-202108-1237 |
2025-11-11 15:10:42 | 2025-11-11 07:56:51 |
版本与语言
安全公告
变更历史
查看详细变更
- vulnerability_type: 未提取 -> 资源管理错误
- cnnvd_id: 未提取 -> CNNVD-202108-1237
- data_sources: ['cve', 'nvd'] -> ['cnnvd', 'cve', 'nvd']
查看详细变更
- affected_products_count: 3 -> 6
- data_sources: ['cve'] -> ['cve', 'nvd']