CVE-2020-15197

MEDIUM6.3EPSS 0.22%

Denial of Service in Tensorflow

發布日:2020/9/25修改日:2026/3/13

描述

### Impact 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 rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L185 However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. ### Patches We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release. We recommend users to upgrade to TensorFlow 2.3.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability is a variant of [GHSA-p5f8-gfw5-33w4](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4)

受影響套件(7)

Bitnami/tensorflow>= 2.3.0, < 2.3.1
PyPI/tensorflow>= 2.3.0, < 2.3.1
PyPI/tensorflowfrom 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
PyPI/tensorflow-cpufrom 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
PyPI/tensorflow-cpu>= 2.3.0, < 2.3.1
PyPI/tensorflow-gpufrom 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
PyPI/tensorflow-gpu>= 2.3.0, < 2.3.1

CVSS 分數

來源	版本	嚴重程度	向量
osv	CVSS 4.0	—	CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:N/SI:N/SA:H
osv	CVSS 3.1	MEDIUM6.3	CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H

描述

受影響套件(7)

CVSS 分數

參考連結(8)