Improper Input Validation Affecting tensorflow package, versions [2.3.0, 2.3.1)
Snyk CVSS
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOW-1013467
- published 28 Sep 2020
- disclosed 25 Sep 2020
- credit Aivul Team from Qihoo 360
Introduced: 25 Sep 2020
CVE-2020-15197 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.3.1 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Improper Input Validation. 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. 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.