SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-rrfp-j2mp-hq9c)

high Tenable Cloud Security Plugin ID 418898

Description

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

- In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to
`tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the
input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the
argument and then uses it to access the corresponding element of an array. Since in normal builds,
`DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue
is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing
the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
(CVE-2020-15265)

Plugin Details

Severity: High

ID: 418898

Version: Revision 1.5

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: 3.9

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

CVSS Score Source: CVE-2020-15265

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

CVSS v4

Risk Factor: High

Base Score: 7.1

Threat Score: 5.7

Threat Vector: CVSS:4.0/E:P

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

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 11/13/2020

Vulnerability Publication Date: 10/21/2020

Reference Information

CVE: CVE-2020-15265

cwe: CWE-125

Detections

Analytics