SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-23hm-7w47-xw72)

high Tenable Cloud Security Plugin ID 408636

Description

There are packages installed that are affected by a vulnerability referenced in the following CVE:

- Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully
validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the
default value for the optional argument) or any other positive value at most the number of dimensions of
the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the
array containing the dimensions of the input tensor. 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. (CVE-2022-21726)

See Also

https://github.com/advisories/GHSA-23hm-7w47-xw72

Plugin Details

Severity: High

ID: 408636

Version: Revision 1.7

Type: Local

Family: SCA Checks

Published: 1/23/2025

Updated: 7/2/2026

Supported Sensors: Tenable Cloud Security, Tenable Self-Hosted Container Security

Risk Information

VPR

Risk Factor: Medium

Score: 4.9

Percentile: 57.12

Vendor

Vendor Severity: High

CVSS v2

Risk Factor: Medium

Base Score: 6.5

Temporal Score: 5.1

Vector: CVSS2#AV:N/AC:L/Au:S/C:P/I:P/A:P

CVSS Score Source: CVE-2022-21726

CVSS v3

Risk Factor: High

Base Score: 8.8

Temporal Score: 7.9

Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C

CVSS v4

Risk Factor: High

Base Score: 7.2

Threat Score: 5.7

Threat Vector: CVSS:4.0/E:P

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 2/9/2022

Vulnerability Publication Date: 2/3/2022

Reference Information

CVE: CVE-2022-21726

cwe: CWE-125