CVE-2021-37679 (CNNVD-202108-1259)

HIGH
中文标题:
Google TensorFlow 缓冲区错误漏洞
英文标题:
Heap OOB in nested `tf.map_fn` with `RaggedTensor`s in TensorFlow
CVSS分数: 7.1
发布时间: 2021-08-12 22:20:16
漏洞类型: 缓冲区错误
状态: PUBLISHED
数据质量分数: 0.30
数据版本: v3
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 中存在缓冲区错误漏洞，该漏洞源于产品可能会泄露内存信息。 以下产品及版本收到影响：TensorFlow 2.5.1、TensorFlow 2.4.3 和 TensorFlow 2.3.4。

英文描述:

TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked. We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12. 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:
CWE-125 CWE-681
标签:
（暂无数据）
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:*:*:*:*:*:*:*
google tensorflow * - - cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
google tensorflow 2.5.0 - - cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*
google tensorflow 2.6.0 - - cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*
解决方案
中文解决方案:
（暂无数据）
英文解决方案:
（暂无数据）
临时解决方案:
（暂无数据）
参考链接
无标题 x_refsource_CONFIRM
cve.org
访问
无标题 x_refsource_MISC
cve.org
访问
CVSS评分详情
3.1 (cna)
HIGH
7.1
CVSS向量: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
机密性
HIGH
完整性
HIGH
可用性
NONE
时间信息
发布时间:
2021-08-12 22:20:16
修改时间:
2024-08-04 01:23:01
创建时间:
2025-11-11 15:36:58
更新时间:
2025-11-11 15:56:51
利用信息
暂无可利用代码信息
数据源详情
数据源 记录ID 版本 提取时间
CVE cve_CVE-2021-37679 2025-11-11 15:21:02 2025-11-11 07:36:58
NVD nvd_CVE-2021-37679 2025-11-11 14:57:40 2025-11-11 07:45:16
CNNVD cnnvd_CNNVD-202108-1259 2025-11-11 15:10:41 2025-11-11 07:56:51
版本与语言
当前版本: v3
主要语言: EN
支持语言:
EN ZH
安全公告
暂无安全公告信息
变更历史
v3 CNNVD
2025-11-11 15:56:51
vulnerability_type: 未提取 → 缓冲区错误; cnnvd_id: 未提取 → CNNVD-202108-1259; data_sources: ['cve', 'nvd'] → ['cnnvd', 'cve', 'nvd']
查看详细变更
  • vulnerability_type: 未提取 -> 缓冲区错误
  • cnnvd_id: 未提取 -> CNNVD-202108-1259
  • data_sources: ['cve', 'nvd'] -> ['cnnvd', 'cve', 'nvd']
v2 NVD
2025-11-11 15:45:16
affected_products_count: 3 → 6; data_sources: ['cve'] → ['cve', 'nvd']
查看详细变更
  • affected_products_count: 3 -> 6
  • data_sources: ['cve'] -> ['cve', 'nvd']