Improper Input Validation Affecting tensorflow package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)
Threat Intelligence
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOW-1540698
- published 13 Aug 2021
- disclosed 13 Aug 2021
- credit Unknown
Introduced: 13 Aug 2021
CVE-2021-37665 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.5.1, 2.4.3, 2.3.4 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Improper Input Validation as, due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The implementation does not validate the dimensions of the input tensor. A similar issue occurs in MklRequantizePerChannelOp. The implementation does not perform full validation for all the input arguments.