Improper Input Validation Affecting tensorflow package, versions [2.3.0, 2.3.1)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOW-1013461
- published 28 Sep 2020
- disclosed 25 Sep 2020
- credit Aivul Team from Qihoo 360
Introduced: 25 Sep 2020
CVE-2020-15199 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 RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Since BatchedMap is equivalent to a vector, it needs to have at least one element to not be nullptr. If user passes a splits tensor that is empty or has exactly one element, we get a SIGABRT signal raised by the operating system.