Out-of-Bound Affecting tensorflow package, versions [,2.5.3) [2.6.0,2.6.3) [2.7.0,2.7.1)
Snyk CVSS
Attack Complexity
Low
Confidentiality
High
Integrity
High
Availability
High
Threat Intelligence
EPSS
0.22% (60th
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-2395433
- published 7 Feb 2022
- disclosed 7 Feb 2022
- credit Unknown
Introduced: 7 Feb 2022
CVE-2022-23574 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.5.3, 2.6.3, 2.7.1 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Out-of-Bound via a typo in TensorFlow's SpecializeType. A nested loop inside a function initializes a pointer to an argument (arg) by using the outer loop's index (i), instead of the inner loop index (j), allowing to assign to arg from outside the vector of arguments, resulting in the ability to read/write out of bounds.