Vulnerability Information
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Vulnerability Title
Heap buffer overflow in Tensorflow
Vulnerability Description
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
Vulnerability Type
输入验证不恰当
Vulnerability Title
Google TensorFlow 缓冲区错误漏洞
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之前版本中存在缓冲区错误漏洞，该漏洞源于RaggedCountSparseOutput不会验证输入参数是否形成有效的参差张量，该漏洞允许攻击者造成堆缓冲区溢出。
CVSS Information
N/A
Vulnerability Type
N/A