CVE-2020-15197 – tensorflow-gpu

Package

Manager: pip
Name: tensorflow-gpu
Vulnerable Version: =2.3.0 || >=2.3.0 <2.3.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H

CVSS v4.0: 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

EPSS: 0.0022 pctl0.44566

Details

Denial of Service in Tensorflow ### 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)

Metadata

Created: 2020-09-25T18:28:30Z
Modified: 2024-10-28T20:24:30Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-qc53-44cj-vfvx/GHSA-qc53-44cj-vfvx.json
CWE IDs: ["CWE-20", "CWE-617"]
Alternative ID: GHSA-qc53-44cj-vfvx
Finding: F184
Auto approve: 1