Safety vulnerability ID: 44782
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-21730: The implementation of 'FractionalAvgPoolGrad' does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. See CVE-2022-21730.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4
MISC:https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360: https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360
MISC:https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9: https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9
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