Denial of Service in Tensorflow
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Denial of service
- Confidentiality · integrity · availability
- None · None · Low
- Fix status
- Fixed
Attack profile from CVSS 3.1 · CNA. Fix status from CNA and GitHub. Impact type from CWE-617.
Summary
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."
Why it matters now
SSVC decision points
Not available: CISA has not published SSVC decision points for this record.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| tensorflow | before 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | Patch available | CNA | |
| — | tensorflow (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-cpu (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-cpu (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-cpu (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-cpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-cpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-gpu (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-gpu (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-gpu (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-gpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-9mqp-7v2h-2382 |
| — | tensorflow-gpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-9mqp-7v2h-2382 |
- tensorflow VendorGoogle Affected before 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.1 Fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 Patch available CNA
- tensorflow (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-9mqp-7v2h-2382
- tensorflow (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-9mqp-7v2h-2382
- tensorflow (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-9mqp-7v2h-2382
- tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-9mqp-7v2h-2382
- tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-cpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-cpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-cpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-gpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-gpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-gpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-9mqp-7v2h-2382
- tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-9mqp-7v2h-2382
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
- Fix · GHSA-9mqp-7v2h-2382 tensorflow (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-cpu (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-cpu (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-cpu (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-gpu (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-gpu (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-gpu (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-9mqp-7v2h-2382 tensorflow-gpu (PyPI) Fixed in 2.3.1 Advisory →
Fixed in the same release
Records fixed by the same vendor advisory or release, as the CNA lists them.
- Advisory ·
tensorflow — openSUSE-SU-2020:1766
16 records Highest priority Priority MEDIUM 6 MEDIUM, 10 LOW
Other records, highest priority first
- TI-2020-11980 Data corruption in tensorflow-litePriority MEDIUM 44
- TI-2020-11977 Data leak in TensorflowPriority MEDIUM 44
- TI-2020-11979 Segfault and data corruption in tensorflow-litePriority MEDIUM 41
Timeline
- 2026-10-02 Threatist record created from CVE-2020-15194
- 2026-10-03 Alias added: GHSA-9mqp-7v2h-2382
References
Advisory 3
Other 4
- 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
More Google Tensorflow vulnerabilities
- TI-2022-20241 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07640 Integer overflow in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07627 Out of bounds read and write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07619 Out of bounds write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07613 Read and Write outside of bounds in TFLite CVSS 3.1HIGH 8.8
- TI-2022-07612 Integer overflow in TFLite CVSS 3.1HIGH 8.8
Sources
- CVE-2020-15194 · CVE Program
- CVE-2020-15194 · NVD
- FIRST EPSS
- GHSA-9mqp-7v2h-2382 · GitHub Advisory Database · CC BY 4.0
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