Detections
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SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-pg59-2f92-5cph)
medium Tenable Self-Hosted Container Security Plugin ID 417502
Description
There are packages installed that are affected by a vulnerability referenced in the following CVE:- In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations
don't validate that the `weights` tensor has the same shape as the data. The check exists for
`DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights
are still accessed in parallel with the data. But, since there is no validation, a user passing fewer
weights than the values for the tensors can generate a read from outside the bounds of the heap buffer
allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is
released in TensorFlow version 2.3.1. (CVE-2020-15196)
See Also
Plugin Details
Severity: Medium
ID: 417502
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: Medium
Score: 5
Percentile: 95.09
Vendor
Vendor Severity: Medium
CVSS v2
Risk Factor: Medium
Base Score: 6.5
Temporal Score: 5.1
Vector: CVSS2#AV:N/AC:L/Au:S/C:P/I:P/A:P
CVSS Score Source: CVE-2020-15196
CVSS v3
Risk Factor: Critical
Base Score: 9.9
Temporal Score: 8.9
Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C
CVSS v4
Risk Factor: Medium
Base Score: 5.8
Threat Score: 2.6
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:H/SI:H/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-2020-15196