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 |
Configurations
History
18 Nov 2021, 17:22
Type | Values Removed | Values Added |
---|---|---|
CWE |
17 Aug 2021, 13:21
Type | Values Removed | Values Added |
---|---|---|
CPE | cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:* |
Information
Published : 2020-09-25 19:15
Updated : 2024-02-04 21:23
NVD link : CVE-2020-15198
Mitre link : CVE-2020-15198
CVE.ORG link : CVE-2020-15198
JSON object : View
Products Affected
- tensorflow