Safety vulnerability ID: 41155
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37680: In affected versions the implementation of fully connected layers in TFLite is vulnerable to a division by zero error (https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). The Tensorflow team has patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f.
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. See CVE-2021-37680.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfpj-3q4c-jhvr: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfpj-3q4c-jhvr
MISC:https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f: https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f
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