CVE-2022-21735
Division by zero in Tensorflow
Summary
Division by zero in Tensorflow
Original description
The description as published by the source.
Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV
Affected packages
PyPI
tensorflow
[{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}]
PyPI
tensorflow-cpu
[{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}]
PyPI
tensorflow-gpu
[{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}]
Bitnami
tensorflow
[{"type":"SEMVER","events":[{"introduced":"0"},{"fixed":"2.5.3"},{"introduced":"2.6.0"},{"fixed":"2.6.3"},{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}]
References
- advisory github.com
- advisory nvd.nist.gov
- advisory github.com
- package github.com
- patch github.com
- web github.com
- web github.com
- web github.com