Denial of Service in Tensorflow
Medium5.3CVE-2020-15194 · Published Sep 25, 2020 · updated Jul 8, 2026
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 1.15.4 | 1.15.4 |
| >= 2.0.0, < 2.0.3 | 2.0.3 | |
| >= 2.1.0, < 2.1.2 | 2.1.2 | |
| >= 2.2.0, < 2.2.1 | 2.2.1 | |
| >= 2.3.0, < 2.3.1 | 2.3.1 |
Details and references
### 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)
- CVSS 3.1
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-20, CWE-617
- Also known as
- BIT-tensorflow-2020-15194, CVE-2020-15194, PYSEC-2020-117, PYSEC-2020-274, PYSEC-2020-309
- github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382
- nvd.nist.gov/vuln/detail/CVE-2020-15194
- github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54
- 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/releases/tag/v2.3.1
- lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
More TensorFlow advisories
All TensorFlow| Date | Advisory | Severity | Fixed in |
|---|---|---|---|
| Sep 252020 | Segfault in Tensorflow CVE-2020-15190Medium5.3fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1 | Medium5.3 | 1.15.4, 2.0.3, 2.1.2, 2.2.1 |
| Sep 252020 | Memory leak in Tensorflow CVE-2020-15192Medium4.3fixed in 2.2.1, 2.3.1 | Medium4.3 | 2.2.1, 2.3.1 |
| Sep 252020 | Heap buffer overflow in Tensorflow CVE-2020-15196Medium8.5fixed in 2.3.1 | Medium8.5 | 2.3.1 |
| Sep 252020 | Heap buffer overflow in Tensorflow CVE-2020-15198Medium5.4fixed in 2.3.1 | Medium5.4 | 2.3.1 |
| Sep 252020 | Denial of Service in Tensorflow CVE-2020-15199High5.9fixed in 2.3.1 | High5.9 | 2.3.1 |
| Sep 252020 | Undefined behavior in Tensorflow CVE-2020-15191Medium5.3fixed in 2.2.1, 2.3.1 | Medium5.3 | 2.2.1, 2.3.1 |