Detections
Analytics

SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-689c-r7h2-fv9v)

high Tenable Cloud Security Plugin ID 411298

Description

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

 - TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input
 for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of
 service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. The
 fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1,
 TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are
 no known workarounds for this issue. (CVE-2022-35973)

See Also

https://github.com/advisories/GHSA-689c-r7h2-fv9v

Plugin Details

Severity: High

ID: 411298

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: Medium

CVSS v2

Risk Factor: High

Base Score: 7.8

Temporal Score: 5.8

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

CVSS Score Source: CVE-2022-35973

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

Vulnerability Information

Exploit Ease: No known exploits are available

Patch Publication Date: 9/16/2022

Vulnerability Publication Date: 9/16/2022

Reference Information

CVE: CVE-2022-35973

cwe: CWE-20