CVE-2021-37646 (CNNVD-202108-1226)

MEDIUM
中文标题:
Google TensorFlow安全漏洞
英文标题:
Bad alloc in `StringNGrams` caused by integer conversion in TensorFlow
CVSS分数: 5.5
发布时间: 2021-08-12 21:10:11
漏洞类型: 其他
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 存在安全漏洞,该漏洞源于"tf.raw_ops.StringNGrams"的实现容易受到整数溢出问题的影响,该问题是由将有符号整数值转换为无符号整数值然后根据该值分配内存而引起的。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 the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. 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-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)
MEDIUM
5.5
CVSS向量: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
机密性
NONE
完整性
NONE
可用性
HIGH
时间信息
发布时间:
2021-08-12 21:10:11
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-2021-37646 2025-11-11 15:21:02 2025-11-11 07:36:58
NVD nvd_CVE-2021-37646 2025-11-11 14:57:40 2025-11-11 07:45:16
CNNVD cnnvd_CNNVD-202108-1226 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 → 其他; cnnvd_id: 未提取 → CNNVD-202108-1226; data_sources: ['cve', 'nvd'] → ['cnnvd', 'cve', 'nvd']
查看详细变更
  • vulnerability_type: 未提取 -> 其他
  • cnnvd_id: 未提取 -> CNNVD-202108-1226
  • 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']