CVE-2026-116104

EUVD-2026-109592

26.10.2026, 01:17

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.

Injection

Provider	Type	Base Score	Atk. Vector	Atk. Complexity	Priv. Required	Vector
VulDB	CNA	6.3 MEDIUM	NETWORK	LOW	NONE	CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L

Base Score

CVSS 3.x

EPSS Score

Percentile: 14.19%

Early Detection

Affected products identified ahead of NVD analysis through intelligence sources (CNA/ADP records, vendor advisories, Enginsight analysis).

Vendor	Product	Version	Source
sony	neural_network_libraries	1.0	CNA
sony	neural_network_libraries	1.1	CNA
sony	neural_network_libraries	1.2	CNA
sony	neural_network_libraries	1.3	CNA
sony	neural_network_libraries	1.4	CNA
sony	neural_network_libraries	1.5	CNA
sony	neural_network_libraries	1.6	CNA
sony	neural_network_libraries	1.7	CNA
sony	neural_network_libraries	1.8	CNA
sony	neural_network_libraries	1.9	CNA
sony	neural_network_libraries	1.10	CNA
sony	neural_network_libraries	1.11	CNA
sony	neural_network_libraries	1.12	CNA
sony	neural_network_libraries	1.13	CNA
sony	neural_network_libraries	1.14	CNA
sony	neural_network_libraries	1.15	CNA
sony	neural_network_libraries	1.16	CNA
sony	neural_network_libraries	1.17	CNA
sony	neural_network_libraries	1.18	CNA
sony	neural_network_libraries	1.19	CNA
sony	neural_network_libraries	1.20	CNA
sony	neural_network_libraries	1.21	CNA
sony	neural_network_libraries	1.22	CNA
sony	neural_network_libraries	1.23	CNA
sony	neural_network_libraries	1.24	CNA
sony	neural_network_libraries	1.25	CNA
sony	neural_network_libraries	1.26	CNA
sony	neural_network_libraries	1.27	CNA
sony	neural_network_libraries	1.28	CNA
sony	neural_network_libraries	1.29	CNA
sony	neural_network_libraries	1.30	CNA
sony	neural_network_libraries	1.31	CNA
sony	neural_network_libraries	1.32	CNA
sony	neural_network_libraries	1.33	CNA
sony	neural_network_libraries	1.34	CNA
sony	neural_network_libraries	1.35	CNA
sony	neural_network_libraries	1.36	CNA
sony	neural_network_libraries	1.37	CNA
sony	neural_network_libraries	1.38	CNA
sony	neural_network_libraries	1.39.0	CNA

Common Weakness Enumeration

CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
The software constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.

References

https://github.com/3em0/cve_repo/blob/main/2026/Sony-NNabla-1.39.0-Code-Injection-in-NNP-Converter-('function.type'-eval()).md

https://vuldb.com/cve/CVE-2026-116104

https://vuldb.com/submit/1003040

https://vuldb.com/vuln/426172

https://vuldb.com/vuln/426172/cti