Safety vulnerability ID: 41158
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-2021-37683: In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error (https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. The Tensorflow team has patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28.
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 division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. 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-2021-37683.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rhrq-64mq-hf9h: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rhrq-64mq-hf9h
MISC:https://github.com/tensorflow/tensorflow/commit/1e206baedf8bef0334cca3eb92bab134ef525a28: https://github.com/tensorflow/tensorflow/commit/1e206baedf8bef0334cca3eb92bab134ef525a28
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application