Detections
Analytics

SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-8fvv-46hw-vpg3)

high Tenable Cloud Security Plugin ID 412639

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. `tf.keras.losses.poisson` receives a `y_pred`
 and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an
 `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the
 issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow
 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and
 still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends
 on Eigen behavior that changed between 2.8 and 2.9. (CVE-2022-41887)

See Also

https://github.com/advisories/GHSA-8fvv-46hw-vpg3

Plugin Details

Severity: High

ID: 412639

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: 6.1

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

CVSS Score Source: CVE-2022-41887

CVSS v3

Risk Factor: High

Base Score: 7.5

Temporal Score: 6.7

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:P/RL:O/RC:C

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 11/21/2022

Vulnerability Publication Date: 11/18/2022

Reference Information

CVE: CVE-2022-41887

cwe: CWE-131