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.
References (3)
Core 3
Core References
Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
Exploit, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3
Scores
CVSS v3
5.4
EPSS
0.0017
EPSS Percentile
37.7%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
Details
CWE
CWE-119
CWE-122
Status
published
Products (4)
google/tensorflow
2.3.0 - 2.3.1
pypi/tensorflow
2.3.0 - 2.3.1PyPI
pypi/tensorflow-cpu
2.3.0 - 2.3.1PyPI
pypi/tensorflow-gpu
2.3.0 - 2.3.1PyPI
Published
Sep 25, 2020
Tracked Since
Feb 18, 2026