CVEvulnerability

CVE-2022-21728

8.1 HIGH Published 2022-02-03 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-02-03
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
8.1 HIGH — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
CVSS 3.1 ([email protected])
8.1 HIGH — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
CVSS 2.0 ([email protected])
5.5 MEDIUM — AV:N/AC:L/Au:S/C:P/I:N/A:P
Weaknesses
CWE-125

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected configurations

• google tensorflow (<= 2.5.2) • google tensorflow (>= 2.6.0 <= 2.6.2) • google tensorflow 2.7.0

Related

Weakness · CWE (1)

  • CWE-125 Out-of-bounds Read weakness

References