Detections
Analytics

SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-247x-2f9f-5wp7)

high Tenable Self-Hosted Container Security Plugin ID 408667

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 `GraphDef` format in TensorFlow does not
 allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a
 `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This
 would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function
 itself and its nodes. 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-2022-23591)

See Also

https://github.com/advisories/GHSA-247x-2f9f-5wp7

Plugin Details

Severity: High

ID: 408667

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: Low

Score: 3

Percentile: 23.18

Vendor

Vendor Severity: High

CVSS v2

Risk Factor: Medium

Base Score: 5

Temporal Score: 3.7

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

CVSS Score Source: CVE-2022-23591

CVSS v3

Risk Factor: High

Base Score: 7.5

Temporal Score: 6.5

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

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

CVSS v4

Risk Factor: High

Base Score: 7.1

Threat Score: 4.9

Threat Vector: CVSS:4.0/E:U

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

Vulnerability Information

Exploit Ease: No known exploits are available

Patch Publication Date: 2/9/2022

Vulnerability Publication Date: 2/4/2022

Reference Information

CVE: CVE-2022-23591