Integer Overflow Affecting tensorflow package, versions [, 2.1.4) [2.2.0, 2.2.3) [2.3.0, 2.3.3) [2.4.0, 2.4.2)
Threat Intelligence
EPSS
0.04% (14th
percentile)
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-1296575
- published 25 May 2021
- disclosed 21 May 2021
- credit Unknown
Introduced: 21 May 2021
CVE-2021-29601 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.1.4, 2.2.3, 2.3.3, 2.4.2 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Integer Overflow via TFLite concatenation.
An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of int. TFLite uses int to represent tensor dimensions, whereas TF uses int64. Hence, valid TF models can trigger an integer overflow when converted to TFLite format.
References
CVSS Scores
version 3.1