| 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 a list of strings to dlpack.to_dlpack there is a memory leak following an expected validation failure:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L100-L104
The allocated memory is from https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L256
The issue occurs because the status argument during validation failures is not properly checked:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L265-L267
Since each of the above methods can return an error status, the status value must be checked before continuing.
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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