CVEvulnerability

CVE-2021-41225

7.8 HIGH Published 2021-11-05 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2021-11-05
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
7.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0 ([email protected])
2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
Weaknesses
CWE-908

Description

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected configurations

• google tensorflow (>= 2.4.0 < 2.4.4) • google tensorflow (>= 2.5.0 < 2.5.2) • google tensorflow (>= 2.6.0 < 2.6.1) • google tensorflow 2.7.0

Related

Weakness · CWE (1)

  • CWE-908 Use of Uninitialized Resource weakness

References