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GHSA-27qf-jwm8-g7f3

FPE in LSH in TFLite

Source: GitHub Advisory Database (reviewed) Moderate CVE-2021-37691

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.3.4 2.3.4
PyPI tensorflow >= 2.4.0, < 2.4.3 2.4.3
PyPI tensorflow >= 2.5.0, < 2.5.1 2.5.1
PyPI tensorflow-cpu < 2.3.4 2.3.4
PyPI tensorflow-cpu >= 2.4.0, < 2.4.3 2.4.3
PyPI tensorflow-cpu >= 2.5.0, < 2.5.1 2.5.1
PyPI tensorflow-gpu < 2.3.4 2.3.4
PyPI tensorflow-gpu >= 2.4.0, < 2.4.3 2.4.3
PyPI tensorflow-gpu >= 2.5.0, < 2.5.1 2.5.1

Details

As written in the advisory (Markdown source, shown as plain text).

### Impact An attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). ```cc int RunningSignBit(const TfLiteTensor* input, const TfLiteTensor* weight, float seed) { int input_item_bytes = input->bytes / SizeOfDimension(input, 0); // ... } ``` There is no check that the first dimension of the input is non zero. ### Patches We have patched the issue in GitHub commit [0575b640091680cfb70f4dd93e70658de43b94f9](https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e70658de43b94f9). The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit 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 Yakun Zhang of Baidu Security.

References

External links from the advisory. They lead to third-party sites.