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I. Basic Information for CVE-2020-15198
Vulnerability Information

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Vulnerability Title
Heap buffer overflow in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
Source: NVD (National Vulnerability Database)
Vulnerability Type
堆缓冲区溢出
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 缓冲区错误漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
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 2.3.1版本中存在缓冲区错误漏洞,该漏洞源于SparseCountSparseOutput实现无法验证输入参数是否形成有效的稀疏张量,该漏洞允许攻击者访问超出堆分配缓冲区的范围。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
VendorProductAffected VersionsCPESubscribe
tensorflowtensorflow >= 2.3.0, < 2.3.1 -
II. Public POCs for CVE-2020-15198
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III. Intelligence Information for CVE-2020-15198
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IV. Related Vulnerabilities
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