CVE-2020-15194: Denial of Service in Tensorflow
(updated )
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.
References
- github.com/advisories/GHSA-9mqp-7v2h-2382
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-274.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-309.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-117.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382
- nvd.nist.gov/vuln/detail/CVE-2020-15194
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