SCA: security update for tensorflow, tensorflow-cpu (GHSA-fxgc-95xx-grvq)

medium Tenable Cloud Security Plugin ID 414763

Description

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

- TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid
input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A
proof of concept can be constructed with the `Convolution3DTranspose` function. This
Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such
vulnerable components could be deployed in ML applications or as cloud services. This failure could be
potentially used to trigger a denial of service attack on ML cloud services. An attacker must have
privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are
advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
(CVE-2023-25661)

See Also

https://github.com/advisories/GHSA-fxgc-95xx-grvq

Plugin Details

Severity: Medium

ID: 414763

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: Low

Score: 3

Percentile: 23.51

Vendor

Vendor Severity: Medium

CVSS v2

Risk Factor: Medium

Base Score: 6.8

Temporal Score: 5.3

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

CVSS Score Source: CVE-2023-25661

CVSS v3

Risk Factor: Medium

Base Score: 6.5

Temporal Score: 5.9

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

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

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 3/27/2023

Vulnerability Publication Date: 3/27/2023

Reference Information

CVE: CVE-2023-25661

cwe: CWE-20