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SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-p5f8-gfw5-33w4)

medium Tenable Cloud Security Plugin ID 417303

Description

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

 - In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that
 the input arguments form a valid ragged tensor. In particular, there is no validation that the values in
 the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap
 buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop
 condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large.
 The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow
 version 2.3.1. (CVE-2020-15201)

See Also

https://github.com/advisories/GHSA-p5f8-gfw5-33w4

Plugin Details

Severity: Medium

ID: 417303

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: 2.1

Percentile: 6.91

Vendor

Vendor Severity: Medium

CVSS v2

Risk Factor: Medium

Base Score: 6.8

Temporal Score: 5.3

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

CVSS Score Source: CVE-2020-15201

CVSS v3

Risk Factor: Medium

Base Score: 4.8

Temporal Score: 4.3

Vector: CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N

Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C

CVSS v4

Risk Factor: Medium

Base Score: 6.3

Threat Score: 2.9

Threat Vector: CVSS:4.0/E:P

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

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 9/25/2020

Vulnerability Publication Date: 9/25/2020

Reference Information

CVE: CVE-2020-15201