GHSA-9mqp-7v2h-2382

Dashboard / Vulnerabilities / GHSA-9mqp-7v2h-2382

GHSA-9mqp-7v2h-2382

Summary: Denial of Service in Tensorflow

Details: ### Impact The `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L235-L241 Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. ### 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 is a variant of [GHSA-63xm-rx5p-xvqr](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-63xm-rx5p-xvqr)

References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382, https://nvd.nist.gov/vuln/detail/CVE-2020-15194, https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-274.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-309.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-117.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