Safety vulnerability ID: 57691
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23568: The implementation of 'AddManySparseToTensorsMap' is vulnerable to an integer overflow which results in a 'CHECK'-fail when building new 'TensorShape' objects (so, an assert failure based denial of service). There are missing some validation on the shapes of the input tensors as well as directly constructing a large 'TensorShape' with user-provided dimensions.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2
Latest version: 2.14.0.600
TensorFlow is an open source machine learning framework for everyone.
This vulnerability has no description
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application