CVE-2021-37663 (CNNVD-202108-1251)

HIGH
中文标题:
Google TensorFlow 输入验证错误漏洞
英文标题:
Incomplete validation in `QuantizeV2` in TensorFlow
CVSS分数: 7.8
发布时间: 2021-08-12 22:45:18
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 存在输入验证错误漏洞,该漏洞源于在受影响的版本中,tf.raw_ops.QuantizeV2 中的不完整验证造成的。攻击者可利用该漏洞通过将引用绑定到空指针来触发未定义的行为,或者可以访问堆分配数组边界之外的数据。

英文描述:

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, 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/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that `min_range` and `max_range` both have the same non-zero number of elements. If `axis` is provided (i.e., not `-1`), then validation should check that it is a value in range for the rank of `input` tensor and then the lengths of `min_range` and `max_range` inputs match the `axis` dimension of the `input` tensor. We have patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708. 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
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
7.8
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 22:45:18
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-2021-37663 2025-11-11 15:21:02 2025-11-11 07:36:58
NVD nvd_CVE-2021-37663 2025-11-11 14:57:40 2025-11-11 07:45:16
CNNVD cnnvd_CNNVD-202108-1251 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-202108-1251; 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-202108-1251
  • 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']