First published: Thu Aug 12 2021(Updated: )
### Impact It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to `tf.raw_ops.CompressElement`: ```python import tensorflow as tf tf.raw_ops.CompressElement(components=[[]]) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/data/compression_utils.cc#L34) was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. ### Patches We have patched the issue in GitHub commit [5dc7f6981fdaf74c8c5be41f393df705841fb7c5](https://github.com/tensorflow/tensorflow/commit/5dc7f6981fdaf74c8c5be41f393df705841fb7c5). 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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360. Concurrently, it was resolved in `master` branch as it was also discovered internally and fixed before the report was handled.
Credit: security-advisories@github.com security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
Google TensorFlow | >=2.3.0<2.3.4 | |
Google TensorFlow | >=2.4.0<2.4.3 | |
Google TensorFlow | =2.5.0 | |
Google TensorFlow | =2.6.0-rc0 | |
Google TensorFlow | =2.6.0-rc1 | |
Google TensorFlow | =2.6.0-rc2 | |
pip/tensorflow-gpu | =2.5.0 | 2.5.1 |
pip/tensorflow-gpu | >=2.4.0<2.4.3 | 2.4.3 |
pip/tensorflow-gpu | <2.3.4 | 2.3.4 |
pip/tensorflow-cpu | =2.5.0 | 2.5.1 |
pip/tensorflow-cpu | >=2.4.0<2.4.3 | 2.4.3 |
pip/tensorflow-cpu | <2.3.4 | 2.3.4 |
pip/tensorflow | =2.5.0 | 2.5.1 |
pip/tensorflow | >=2.4.0<2.4.3 | 2.4.3 |
pip/tensorflow | <2.3.4 | 2.3.4 |
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.