CVE-2021-37665 (CNNVD-202108-1252)

HIGH
中文标题:
Google TensorFlow 输入验证错误漏洞
英文标题:
Incomplete validation in MKL requantization in TensorFlow
CVSS分数: 7.8
发布时间: 2021-08-12 22:40:12
漏洞类型: 输入验证错误
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 中存在输入验证错误漏洞,该漏洞源于产品 requantization 的 MKL 实现未对空指针做有效验证,攻击者可通过解引用空指针访问堆分配数组之外的数据。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 due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc) does not validate the dimensions of the `input` tensor. A similar issue occurs in `MklRequantizePerChannelOp`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc) does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. 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-20
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
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无标题 x_refsource_MISC
cve.org
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无标题 x_refsource_MISC
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CVSS评分详情
3.1 (cna)
HIGH
7.8
CVSS向量: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
机密性
HIGH
完整性
HIGH
可用性
HIGH
时间信息
发布时间:
2021-08-12 22:40:12
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-2021-37665 2025-11-11 15:21:02 2025-11-11 07:36:58
NVD nvd_CVE-2021-37665 2025-11-11 14:57:40 2025-11-11 07:45:16
CNNVD cnnvd_CNNVD-202108-1252 2025-11-11 15:10:42 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 → 输入验证错误; cnnvd_id: 未提取 → CNNVD-202108-1252; data_sources: ['cve', 'nvd'] → ['cnnvd', 'cve', 'nvd']
查看详细变更
  • vulnerability_type: 未提取 -> 输入验证错误
  • cnnvd_id: 未提取 -> CNNVD-202108-1252
  • 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']