Safety vulnerability ID: 42453
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.5.3, 2.6.3 and 2.7.1 include a fix for CVE-2021-41206: In affected versions, several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or 'CHECK'-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. These issues were discovered internally via tooling while working on improving/testing GPU op determinism. As such, there aren't reproducers and there will be multiple fixes for these issues.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pgcq-h79j-2f69
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-43q8-3fv7-pr5x
Latest version: 2.16.1
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. See CVE-2021-41206.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pgcq-h79j-2f69: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pgcq-h79j-2f69
MISC:https://github.com/tensorflow/tensorflow/commit/4d74d8a00b07441cba090a02e0dd9ed385145bf4: https://github.com/tensorflow/tensorflow/commit/4d74d8a00b07441cba090a02e0dd9ed385145bf4
MISC:https://github.com/tensorflow/tensorflow/commit/4dddb2fd0b01cdd196101afbba6518658a2c9e07: https://github.com/tensorflow/tensorflow/commit/4dddb2fd0b01cdd196101afbba6518658a2c9e07
MISC:https://github.com/tensorflow/tensorflow/commit/579261dcd446385831fe4f7457d802a59685121d: https://github.com/tensorflow/tensorflow/commit/579261dcd446385831fe4f7457d802a59685121d
MISC:https://github.com/tensorflow/tensorflow/commit/68422b215e618df5ad375bcdc6d2052e9fd3080a: https://github.com/tensorflow/tensorflow/commit/68422b215e618df5ad375bcdc6d2052e9fd3080a
MISC:https://github.com/tensorflow/tensorflow/commit/da4aad5946be30e5f049920fa076e1f7ef021261: https://github.com/tensorflow/tensorflow/commit/da4aad5946be30e5f049920fa076e1f7ef021261
MISC:https://github.com/tensorflow/tensorflow/commit/e7f497570abb6b4ae5af4970620cd880e4c0c904: https://github.com/tensorflow/tensorflow/commit/e7f497570abb6b4ae5af4970620cd880e4c0c904
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application