Safety vulnerability ID: 51070
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-2022-35981: 'CHECK' fail in 'FractionalMaxPoolGrad'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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-2022-35981.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw
MISC:https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4: https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4
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