GHSA-63xm-rx5p-xvqr

Dashboard / Vulnerabilities / GHSA-63xm-rx5p-xvqr

GHSA-63xm-rx5p-xvqr

Summary: Heap buffer overflow in Tensorflow

Details: ### 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: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-63xm-rx5p-xvqr, https://nvd.nist.gov/vuln/detail/CVE-2020-15195, https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-275.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-310.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-118.yaml, https://github.com/tensorflow/tensorflow, https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1, http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html