CVE-2021-29550 (CNNVD-202105-924)

LOW
中文标题:
Google TensorFlow 数字错误漏洞
英文标题:
Division by 0 in `FractionalAvgPool`
CVSS分数: 2.5
发布时间: 2021-05-14 19:10:36
漏洞类型: 数字错误
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。 TensorFlow 2.4.2,2.3.3,2.2.3，2.1.4存在数字错误漏洞，攻击者可利用该漏洞可以导致tf.raw_ops.FractionalAvgPool中的运行时除零错误和拒绝服务。

英文描述:

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.FractionalAvgPool`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L85-L89) computes a divisor quantity by dividing two user controlled values. The user controls the values of `input_size[i]` and `pooling_ratio_[i]` (via the `value.shape()` and `pooling_ratio` arguments). If the value in `input_size[i]` is smaller than the `pooling_ratio_[i]`, then the floor operation results in `output_size[i]` being 0. The `DCHECK_GT` line is a no-op outside of debug mode, so in released versions of TF this does not trigger. Later, these computed values are used as arguments(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L96-L99) to `GeneratePoolingSequence`(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_pool_common.cc#L100-L108). There, the first computation is a division in a modulo operation. Since `output_length` can be 0, this results in runtime crashing. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

CWE类型:
CWE-369
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 < 2.1.4 - - cpe:2.3:a:tensorflow:tensorflow:<_2.1.4:*:*:*:*:*:*:*
tensorflow tensorflow >= 2.2.0, < 2.2.3 - - cpe:2.3:a:tensorflow:tensorflow:>=_2.2.0,_<_2.2.3:*:*:*:*:*:*:*
tensorflow tensorflow >= 2.3.0, < 2.3.3 - - cpe:2.3:a:tensorflow:tensorflow:>=_2.3.0,_<_2.3.3:*:*:*:*:*:*:*
tensorflow tensorflow >= 2.4.0, < 2.4.2 - - cpe:2.3:a:tensorflow:tensorflow:>=_2.4.0,_<_2.4.2:*:*:*:*:*:*:*
google tensorflow * - - cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
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)
LOW
2.5
CVSS向量: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
机密性
NONE
完整性
NONE
可用性
LOW
时间信息
发布时间:
2021-05-14 19:10:36
修改时间:
2024-08-03 22:11:05
创建时间:
2025-11-11 15:36:48
更新时间:
2025-11-11 15:56:45
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-2021-29550 2025-11-11 15:20:55 2025-11-11 07:36:48
NVD nvd_CVE-2021-29550 2025-11-11 14:57:37 2025-11-11 07:45:07
CNNVD cnnvd_CNNVD-202105-924 2025-11-11 15:10:38 2025-11-11 07:56:45
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 15:56:45
vulnerability_type: 未提取 → 数字错误; cnnvd_id: 未提取 → CNNVD-202105-924; data_sources: ['cve', 'nvd'] → ['cnnvd', 'cve', 'nvd']
查看详细变更
  • vulnerability_type: 未提取 -> 数字错误
  • cnnvd_id: 未提取 -> CNNVD-202105-924
  • data_sources: ['cve', 'nvd'] -> ['cnnvd', 'cve', 'nvd']
v2 NVD
2025-11-11 15:45:07
affected_products_count: 4 → 5; data_sources: ['cve'] → ['cve', 'nvd']
查看详细变更
  • affected_products_count: 4 -> 5
  • data_sources: ['cve'] -> ['cve', 'nvd']