Safety vulnerability ID: 41128
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-2021-37653: In affected versions an attacker can trigger a crash via a floating point exception in 'tf.raw_ops.ResourceGather'. The implementation (https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L725-L731) computes the value of a value, 'batch_size', and then divides by it without checking that this value is not 0. The Tensorflow team has patched the issue in GitHub commit ac117ee8a8ea57b73d34665cdf00ef3303bc0b11.
Latest version: 2.16.1
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 an attacker can trigger a crash via a floating point exception in `tf.raw_ops.ResourceGather`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L725-L731) computes the value of a value, `batch_size`, and then divides by it without checking that this value is not 0. We have patched the issue in GitHub commit ac117ee8a8ea57b73d34665cdf00ef3303bc0b11. 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-2021-37653.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qjj8-32p7-h289: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qjj8-32p7-h289
MISC:https://github.com/tensorflow/tensorflow/commit/ac117ee8a8ea57b73d34665cdf00ef3303bc0b11: https://github.com/tensorflow/tensorflow/commit/ac117ee8a8ea57b73d34665cdf00ef3303bc0b11
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application