Vulnerability Description
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | >= 2.3.0, < 2.3.1 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb9PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3ExploitThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb9PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3ExploitThird Party Advisory
FAQ
What is CVE-2020-15198?
CVE-2020-15198 is a vulnerability with a CVSS score of 5.4 (MEDIUM). In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `...
How severe is CVE-2020-15198?
CVE-2020-15198 has been rated MEDIUM with a CVSS base score of 5.4/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2020-15198?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.