Out-of-bounds Read Affecting tensorflow package, versions [2.7.0rc0,2.7.0) [2.6.0,2.6.1) [2.5.0,2.5.2) [,2.4.4)
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-1912589
- published 7 Nov 2021
- disclosed 7 Nov 2021
- credit Unknown
Introduced: 7 Nov 2021
CVE-2021-41211 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.7.0, 2.6.1, 2.5.2, 2.4.4 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Out-of-bounds Read in the shape inference code for QuantizeV2. This occurs whenever axis is a negative value less than -1. In this case, we are accessing data before the start of a heap buffer. The code allows axis to be an optional argument (s would contain an error::NOT_FOUND error code). Otherwise, it assumes that axis is a valid index into the dimensions of the input tensor. If axis is less than -1 then this results in a heap OOB read.