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GHSA-63xm-rx5p-xvqr

Heap buffer overflow in Tensorflow

Source: GitHub Advisory Database (reviewed) Moderate CVE-2020-15195

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 1.15.4 1.15.4
PyPI tensorflow >= 2.0.0, < 2.0.3 2.0.3
PyPI tensorflow >= 2.1.0, < 2.1.2 2.1.2
PyPI tensorflow >= 2.2.0, < 2.2.1 2.2.1
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1
PyPI tensorflow-cpu < 1.15.4 1.15.4
PyPI tensorflow-cpu >= 2.0.0, < 2.0.3 2.0.3
PyPI tensorflow-cpu >= 2.1.0, < 2.1.2 2.1.2
PyPI tensorflow-cpu >= 2.2.0, < 2.2.1 2.2.1
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1
PyPI tensorflow-gpu < 1.15.4 1.15.4
PyPI tensorflow-gpu >= 2.0.0, < 2.0.3 2.0.3
PyPI tensorflow-gpu >= 2.1.0, < 2.1.2 2.1.2
PyPI tensorflow-gpu >= 2.2.0, < 2.2.1 2.2.1
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1

Details

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

### Impact The implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L263-L269 It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. ### Patches We have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. ### 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.