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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3 | Exploit Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2020-09-25T18:40:25
Updated: 2020-09-25T18:40:25
Reserved: 2020-06-25T00:00:00
Link: CVE-2020-15198
JSON object: View
NVD Information
Status : Analyzed
Published: 2020-09-25T19:15:15.057
Modified: 2021-11-18T17:22:34.007
Link: CVE-2020-15198
JSON object: View
Redhat Information
No data.