Detections
Analytics

SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-37jf-mjv6-xfqw)

high Tenable Self-Hosted Container Security Plugin ID 409374

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. When `Conv2DBackpropInput` receives empty
 `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the
 other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in
 GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. 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-2022-35999)

See Also

https://github.com/advisories/GHSA-37jf-mjv6-xfqw

Plugin Details

Severity: High

ID: 409374

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: 23.18

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-2022-35999

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-2022-35999

cwe: CWE-617