Detections
Analytics
SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-qc53-44cj-vfvx)
medium Tenable Cloud Security Plugin ID 418043
Description
There are packages installed that are affected by a vulnerability referenced in the following CVE:- In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that
the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices`
tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements
of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK`
assertion failure and a crash. This can be used to cause denial of service in serving installations, if
users are allowed to control the components of the input sparse tensor. The issue is patched in commit
3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. (CVE-2020-15197)
See Also
Plugin Details
Severity: Medium
ID: 418043
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: 3.3
Percentile: 50.87
Vendor
Vendor Severity: Medium
CVSS v2
Risk Factor: Low
Base Score: 3.5
Temporal Score: 2.7
Vector: CVSS2#AV:N/AC:M/Au:S/C:N/I:N/A:P
CVSS Score Source: CVE-2020-15197
CVSS v3
Risk Factor: Medium
Base Score: 6.3
Temporal Score: 5.7
Vector: CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H
Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C
CVSS v4
Risk Factor: Medium
Base Score: 4.9
Threat Score: 2.3
Threat Vector: CVSS:4.0/E:P
Vector: CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:N/SI:N/SA:H
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-2020-15197