Safety vulnerability ID: 51958
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow 2.8.4, 2.9.3 and 2.10.1 include a fix for CVE-2022-41900: The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472
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 security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1. See CVE-2022-41900.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472
MISC:https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48: https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48
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