CVE-2021-29531 (CNNVD-202105-939)

LOW
中文标题:
Google TensorFlow 代码问题漏洞
英文标题:
CHECK-fail in tf.raw_ops.EncodePng
CVSS分数: 2.5
发布时间: 2021-05-14 19:12:12
漏洞类型: 代码问题
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存在代码问题漏洞，攻击者可利用该漏洞可以通过利用来自实现CHECK失败来导致拒绝服务。

英文描述:

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when calling `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the first line of `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349). Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack. 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-754
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 19:12:12
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-2021-29531 2025-11-11 15:20:55 2025-11-11 07:36:48
NVD nvd_CVE-2021-29531 2025-11-11 14:57:37 2025-11-11 07:45:07
CNNVD cnnvd_CNNVD-202105-939 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 → 代码问题; cnnvd_id: 未提取 → CNNVD-202105-939; data_sources: ['cve', 'nvd'] → ['cnnvd', 'cve', 'nvd']
查看详细变更
  • vulnerability_type: 未提取 -> 代码问题
  • cnnvd_id: 未提取 -> CNNVD-202105-939
  • 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']