CVE-2020-15194
Description
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."
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
Vendor advisory: debian — https://security-tracker.debian.org/tracker/CVE-2020-15194
OS impact
| OS | Version | Status | Fixed in |
|---|---|---|---|
| debian | forky | fixed | 0 |
| debian | sid | fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| 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 |
| PyPI | tensorflow-gpu | <390611e0d45c5793c7066110af37c8514e6a6c54||>=2.3.0,<2.3.1 | 390611e0d45c5793c7066110af37c8514e6a6c54 |
| PyPI | tensorflow | <390611e0d45c5793c7066110af37c8514e6a6c54||>=2.3.0,<2.3.1 | 390611e0d45c5793c7066110af37c8514e6a6c54 |
| PyPI | tensorflow-cpu | <390611e0d45c5793c7066110af37c8514e6a6c54||>=2.3.0,<2.3.1 | 390611e0d45c5793c7066110af37c8514e6a6c54 |
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
- https://security-tracker.debian.org/tracker/CVE-2020-15194
Verify integrity in audit chain (admin only). AS-IS.