Vulnerabilities > CVE-2022-35981 - Unspecified vulnerability in Google Tensorflow
Attack vector
NETWORK Attack complexity
LOW Privileges required
NONE Confidentiality impact
NONE Integrity impact
NONE Availability impact
HIGH Summary
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.
Vulnerable Configurations
References
- https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4
- https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw