| Package | Affected versions | Patched versions |
|---|---|---|
| tensorflow | ≥ 2.2.0, < 2.2.1≥ 2.3.0, < 2.3.1≥ 2.3.0rc0, < 2.3.1< 2.2.1 | 2.2.12.3.1 |
| tensorflow-cpu | ≥ 2.2.0, < 2.2.1≥ 2.3.0, < 2.3.1≥ 2.3.0rc0, < 2.3.1< 2.2.1 | 2.2.12.3.1 |
| tensorflow-gpu | ≥ 2.2.0, < 2.2.1≥ 2.3.0, < 2.3.1≥ 2.3.0rc0, < 2.3.1< 2.2.1 | 2.2.12.3.1 |
| tensorflow | = 2.2.0= 2.3.0 |
If a user passes an invalid argument to dlpack.to_dlpack the expected validations will cause variables to bind to nullptr while setting a status variable to the error condition.
However, this status argument is not properly checked:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L265-L267
Hence, code following these methods will bind references to null pointers: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L279-L285
This is undefined behavior and reported as an error if compiling with -fsanitize=null.
We have patched the issue in 22e07fb204386768e5bcbea563641ea11f96ceb8 and will release a patch release for all affected versions.
We recommend users to upgrade to TensorFlow 2.2.1 or 2.3.1.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been discovered during variant analysis of GHSA-rjjg-hgv6-h69v.
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