SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-c6fh-56w7-fvjw)

high Tenable Self-Hosted Container Security Plugin ID 413711

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 shape inference for
`Dequantize` is vulnerable to an integer overflow weakness. 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, since the code computes `axis + 1`, an attacker
can trigger an integer overflow. 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-2022-21727)

See Also

https://github.com/advisories/GHSA-c6fh-56w7-fvjw

Plugin Details

Severity: High

ID: 413711

Version: Revision 1.6

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: 57.15

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-2022-21727

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:L/VI:L/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-2022-21727

cwe: CWE-190