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GHSA-pmpr-55fj-r229

Division by zero in TFLite's implementation of `SVDF`

Source: GitHub Advisory Database (reviewed) Low CVE-2021-29598

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.1.4 2.1.4
PyPI tensorflow >= 2.2.0, < 2.2.3 2.2.3
PyPI tensorflow >= 2.3.0, < 2.3.3 2.3.3
PyPI tensorflow >= 2.4.0, < 2.4.2 2.4.2
PyPI tensorflow-cpu < 2.1.4 2.1.4
PyPI tensorflow-cpu >= 2.2.0, < 2.2.3 2.2.3
PyPI tensorflow-cpu >= 2.3.0, < 2.3.3 2.3.3
PyPI tensorflow-cpu >= 2.4.0, < 2.4.2 2.4.2
PyPI tensorflow-gpu < 2.1.4 2.1.4
PyPI tensorflow-gpu >= 2.2.0, < 2.2.3 2.2.3
PyPI tensorflow-gpu >= 2.3.0, < 2.3.3 2.3.3
PyPI tensorflow-gpu >= 2.4.0, < 2.4.2 2.4.2

Details

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

### Impact The implementation of the `SVDF` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102): ```cc const int rank = params->rank; ... TF_LITE_ENSURE_EQ(context, num_filters % rank, 0); ``` An attacker can craft a model such that `params->rank` would be 0. ### Patches We have patched the issue in GitHub commit [6841e522a3e7d48706a02e8819836e809f738682](https://github.com/tensorflow/tensorflow/commit/6841e522a3e7d48706a02e8819836e809f738682). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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.

References

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