CVE-2021-41225

Severity CVSS v4.0:

Pending analysis

Type:

Unavailable / Other

Publication date:

05/11/2021

Last modified:

10/11/2021

Description

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow&#39;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.

Impact

Vector 3.x

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H CVSS v3.1 Severity and Metrics:

Base Score: 7.80 HIGH
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Attack Vector (AV): Local
Attack Complexity (AC): Low
Privileges Required (PR): Low
User Interaction (UI): None
Scope (S): Unchanged
Confidentiality (C): High
Integrity (I): High
Availability (A): High

Base Score 3.x

7.80

Severity 3.x

HIGH

Vector 2.0

AV:L/AC:L/Au:N/C:N/I:N/A:P CVSS v2.0 Severity and Metrics:

Base Score: 2.10 LOW
Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P

Attack Vector (AV): Local
Attack Complexity (AC): Low
Authentication (Au): None
Confidentiality (C): None
Integrity (I): None
Availability (A): Physical

Base Score 2.0

2.10

Severity 2.0

LOW

Vulnerable products and versions

CPE	From	Up to
cpe:2.3:a:google:tensorflow::::::::	2.4.0 (including)	2.4.4 (excluding)
cpe:2.3:a:google:tensorflow::::::::	2.5.0 (including)	2.5.2 (excluding)
cpe:2.3:a:google:tensorflow::::::::	2.6.0 (including)	2.6.1 (excluding)
cpe:2.3:a:google:tensorflow:2.7.0:rc0::::::
cpe:2.3:a:google:tensorflow:2.7.0:rc1::::::

To consult the complete list of CPE names with products and versions, see this page

CVE-2021-41225

Description

Impact

Vulnerable products and versions

References to Advisories, Solutions, and Tools