Denial of Service in Tensorflow
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. 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. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2020-15194US | medium5.3 | — | ||
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although… | ||||
references
External citations — patches, advisories, analysis.
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlADVISORY
- https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1ADVISORY
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382ADVISORY
- https://nvd.nist.gov/vuln/detail/CVE-2020-15194WEB
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