Uninitialized Memory Exposure Affecting tensorflow package, versions [2.2.0, 2.2.1) [2.3.0, 2.3.1)
Threat Intelligence
Exploit Maturity
Proof of concept
EPSS
0.2% (59th
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-1013446
- published 28 Sep 2020
- disclosed 25 Sep 2020
- credit Unknown
Introduced: 25 Sep 2020
CVE-2020-15192 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.2.1, 2.3.1 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Uninitialized Memory Exposure. If a user passes a list of strings to dlpack.to_dlpack there is a memory leak following an expected validation failure. The issue occurs because the status argument during validation failures is not properly checked.
References
CVSS Scores
version 3.1