Description
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. 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-p5f8-gfw5-33w4
Scores
CVSS v3
4.8
EPSS
0.0019
EPSS Percentile
41.2%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
Details
CWE
CWE-20
CWE-122
CWE-787
Status
published
Products (4)
google/tensorflow
2.3.0
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