CVE-2021-29554 (CNNVD-202105-960)
中文标题:
Google TensorFlow 数字错误漏洞
英文标题:
Division by 0 in `DenseCountSparseOutput`
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存在数字错误漏洞，攻击者可利用该漏洞可以通过tf.raw_ops.DenseCountSparseOutput的FPE运行时错误导致拒绝服务。
英文描述:
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
CWE类型:
标签:
受影响产品
| 厂商 | 产品 | 版本 | 版本范围 | 平台 | CPE |
|---|---|---|---|---|---|
| tensorflow | tensorflow | < 2.3.3 | - | - |
cpe:2.3:a:tensorflow:tensorflow:<_2.3.3:*:*:*:*:*:*:*
|
| tensorflow | tensorflow | >= 2.4.0, < 2.4.2 | - | - |
cpe:2.3:a:tensorflow:tensorflow:>=_2.4.0,_<_2.4.2:*:*:*:*:*:*:*
|
| tensorflow | * | - | - |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
|
解决方案
中文解决方案:
英文解决方案:
临时解决方案:
CVSS评分详情
3.1 (cna)
LOWCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
时间信息
利用信息
数据源详情
| 数据源 | 记录ID | 版本 | 提取时间 |
|---|---|---|---|
| CVE | cve_CVE-2021-29554 |
2025-11-11 15:20:55 | 2025-11-11 07:36:48 |
| NVD | nvd_CVE-2021-29554 |
2025-11-11 14:57:37 | 2025-11-11 07:45:07 |
| CNNVD | cnnvd_CNNVD-202105-960 |
2025-11-11 15:10:38 | 2025-11-11 07:56:45 |
版本与语言
安全公告
变更历史
查看详细变更
- vulnerability_type: 未提取 -> 数字错误
- cnnvd_id: 未提取 -> CNNVD-202105-960
- data_sources: ['cve', 'nvd'] -> ['cnnvd', 'cve', 'nvd']
查看详细变更
- affected_products_count: 2 -> 3
- data_sources: ['cve'] -> ['cve', 'nvd']