Description
A security flaw has been discovered in Sony Neural Network Libraries up to 1.39.0. This impacts the function func_set_nnabla_version_decorate of the file python/src/nnabla/utils/converter/utils.py of the component NNP Converter. Performing a manipulation of the argument function.type results in code injection. The attack can be initiated remotely. The exploit has been released to the public and may be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way. This vulnerability only affects products that are no longer supported by the maintainer.
Published: 2026-10-26
Score: 5.3 Medium
EPSS: n/a
KEV: No
Impact: Arbitrary code execution via code injection
Action: Apply Patch
AI Analysis

Impact

A flaw in Sony Neural Network Libraries allows an attacker to manipulate the function.type argument in the NNP Converter utilities, enabling execution of arbitrary code. This injection can compromise confidentiality, integrity, and availability by running malicious commands on the host system.

Affected Systems

Sony Neural Network Libraries products up to version 1.39.0 are affected. Any deployment of the NNP Converter component in those versions is vulnerable. Versions newer than 1.39.0 are not impacted per the vendor release notes.

Risk and Exploitability

The vulnerability carries a CVSS score of 5.3, indicating a moderate severity. No EPSS data is available, and it is not listed in the CISA KEV catalog. The attack vector is remote, and published exploits are available, raising the likelihood of exploitation in environments that use the affected libraries without restriction.

Generated by OpenCVE AI on October 26, 2026 at 02:21 UTC.

Remediation

No solution or workaround provided in the CVE record.

OpenCVE Recommended Actions

  • Upgrade Sony Neural Network Libraries to a version newer than 1.39.0 or to an officially patched release.
  • If an upgrade is impossible, disable or remove the NNP Converter component from the system to eliminate the attack surface.
  • Modify the application to validate or sanitize the function.type input before it is used, preventing the execution of unwanted code.

Generated by OpenCVE AI on October 26, 2026 at 02:21 UTC.

Tracking

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Advisories

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History

Mon, 26 Oct 2026 01:15:00 +0000

Type Values Removed Values Added
Description A security flaw has been discovered in Sony Neural Network Libraries up to 1.39.0. This impacts the function func_set_nnabla_version_decorate of the file python/src/nnabla/utils/converter/utils.py of the component NNP Converter. Performing a manipulation of the argument function.type results in code injection. The attack can be initiated remotely. The exploit has been released to the public and may be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way. This vulnerability only affects products that are no longer supported by the maintainer.
Title Sony Neural Network Libraries NNP Converter utils.py func_set_nnabla_version_decorate code injection
First Time appeared Sony
Sony neural Network Libraries
Weaknesses CWE-74
CWE-94
CPEs cpe:2.3:a:sony:neural_network_libraries:*:*:*:*:*:*:*:*
Vendors & Products Sony
Sony neural Network Libraries
References
Metrics cvssV2_0

{'score': 7.5, 'vector': 'AV:N/AC:L/Au:N/C:P/I:P/A:P/E:POC/RL:ND/RC:C'}

cvssV3_0

{'score': 6.3, 'vector': 'CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L/E:P/RL:X/RC:C'}

cvssV3_1

{'score': 6.3, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L/E:P/RL:X/RC:C'}

cvssV4_0

{'score': 5.3, 'vector': 'CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P'}

Subscriptions

Sony Neural Network Libraries
cve-icon MITRE

Status: PUBLISHED

Assigner: VulDB

Published:

Updated: 2026-10-26T01:00:15.928Z

Reserved: 2026-10-25T07:37:33.020Z

Link: CVE-2026-116104

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Received

Published: 2026-10-26T01:17:15.753

Modified: 2026-10-26T01:17:15.753

Link: CVE-2026-116104

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2026-10-26T03:15:14Z

Weaknesses
  • CWE-74

    Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

  • CWE-94

    Improper Control of Generation of Code ('Code Injection')