Safety vulnerability ID: 41135
The information on this page was manually curated by our Cybersecurity Intelligence Team.
[This advisory has been limited. Please create a free account to view the full advisory.]
Latest version: 2.20.0
TensorFlow is an open source machine learning framework for everyone.
[This affected versions has been limited. Please create a free account to view the full affected versions.]
[This fixed versions has been limited. Please create a free account to view the full fixed versions.]
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&&`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. 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-2021-37660.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cm5x-837x-jf3c: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cm5x-837x-jf3c
MISC:https://github.com/tensorflow/tensorflow/commit/e86605c0a336c088b638da02135ea6f9f6753618: https://github.com/tensorflow/tensorflow/commit/e86605c0a336c088b638da02135ea6f9f6753618
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application