Detections
Analytics

SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-rjjg-hgv6-h69v)

high Tenable Self-Hosted Container Security Plugin ID 418782

Description

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

 - In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use
 uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code
 assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python
 object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the
 `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is
 patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1,
 or 2.3.1. (CVE-2020-15193)

See Also

https://github.com/advisories/GHSA-rjjg-hgv6-h69v

Plugin Details

Severity: High

ID: 418782

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: 3.5

Percentile: 51.63

Vendor

Vendor Severity: High

CVSS v2

Risk Factor: Medium

Base Score: 5.5

Temporal Score: 4.3

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

CVSS Score Source: CVE-2020-15193

CVSS v3

Risk Factor: High

Base Score: 7.1

Temporal Score: 6.4

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

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:L/UI:N/VC:N/VI:H/VA:L/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-2020-15193

cwe: CWE-908