First published: Fri Feb 04 2022(Updated: )
### Impact There is a typo in TensorFlow's [`SpecializeType`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102) which results in heap OOB read/write: ```cc for (int i = 0; i < op_def.output_arg_size(); i++) { // ... for (int j = 0; j < t->args_size(); j++) { auto* arg = t->mutable_args(i); // ... } } ``` Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. ### Patches We have patched the issue in GitHub commit [0657c83d08845cc434175934c642299de2c0f042](https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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.
Credit: security-advisories@github.com security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
Google TensorFlow | <=2.5.2 | |
Google TensorFlow | >=2.6.0<=2.6.2 | |
Google TensorFlow | =2.7.0 | |
pip/tensorflow-gpu | =2.7.0 | 2.7.1 |
pip/tensorflow-gpu | >=2.6.0<2.6.3 | 2.6.3 |
pip/tensorflow-gpu | <2.5.3 | 2.5.3 |
pip/tensorflow-cpu | =2.7.0 | 2.7.1 |
pip/tensorflow-cpu | >=2.6.0<2.6.3 | 2.6.3 |
pip/tensorflow-cpu | <2.5.3 | 2.5.3 |
pip/tensorflow | =2.7.0 | 2.7.1 |
pip/tensorflow | >=2.6.0<2.6.3 | 2.6.3 |
pip/tensorflow | <2.5.3 | 2.5.3 |
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