Safety vulnerability ID: 51058
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-2022-35964: Segfault in 'BlockLSTMGradV2'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668
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 `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. 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-2022-35964.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668
MISC:https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa: https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application