Safety vulnerability ID: 51063
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow 2.7.4, 2.8.3 and 2.9.2 include a fix for CVE-2022-35969: 'CHECK' fail in 'Conv2DBackpropInput'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. See CVE-2022-35969.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
MISC:https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c: https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application