Detections
Analytics

SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-q2c3-jpmc-gfjx)

high Tenable Self-Hosted Container Security Plugin ID 417800

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. The implementation of `Conv2DBackpropInput`
 requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to
 trigger a denial of service attack. We have patched the issue in GitHub commit
 50156d547b9a1da0144d7babe665cf690305b33c. 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-2022-35969)

See Also

https://github.com/advisories/GHSA-q2c3-jpmc-gfjx

Plugin Details

Severity: High

ID: 417800

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-2022-35969

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-2022-35969