CVE-2020-15195
Description
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. 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
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
OS impact
Debian Fixed 2 releases
| Version | Status | Fixed in |
|---|---|---|
| sid | Fixed | 0 |
| forky | 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-cpu | <390611e0d45c5793c7066110af37c8514e6a6c54||>=2.3.0,<2.3.1 | 390611e0d45c5793c7066110af37c8514e6a6c54 |
| PyPI | tensorflow | <390611e0d45c5793c7066110af37c8514e6a6c54||>=2.3.0,<2.3.1 | 390611e0d45c5793c7066110af37c8514e6a6c54 |
| PyPI | tensorflow-gpu | <390611e0d45c5793c7066110af37c8514e6a6c54||>=2.3.0,<2.3.1 | 390611e0d45c5793c7066110af37c8514e6a6c54 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-63xm-rx5p-xvqr
- https://nvd.nist.gov/vuln/detail/CVE-2020-15195
- https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-275.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-310.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-118.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-2020-15195
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.