JVNDB-2026-029751
Vulnerability from jvndb - Published: 2026-08-24 07:31 - Updated:2026-08-24 07:31
Severity
Summary
Multiple vulnerabilities in Yamaha VOCALOID6 Editor
Details
VOCALOID6 Editor provided by Yamaha Corporation contains multiple vulnerabilities listed below.
- Use of hard-coded credentials (CWE-798) - CVE-2026-76131
- Missing authentication for critical function (CWE-306) - CVE-2026-76137
References
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Impacted products
| Vendor | Product | |
|---|---|---|
{
"@rdf:about": "https://jvndb.jvn.jp/en/contents/2026/JVNDB-2026-029751.html",
"dc:date": "2026-08-24T16:31+09:00",
"dcterms:issued": "2026-08-24T16:31+09:00",
"dcterms:modified": "2026-08-24T16:31+09:00",
"description": "VOCALOID6 Editor provided by Yamaha Corporation contains multiple vulnerabilities listed below.\u003ca href=\u0027https://cwe.mitre.org/data/definitions/798.html\u0027 target=\u0027_blank\u0027\u003e\u003c/a\u003e\u003ca href=\u0027https://cwe.mitre.org/data/definitions/306.html\u0027 target=\u0027_blank\u0027\u003e\u003c/a\u003e\u003cul\u003e\u003cli\u003eUse of hard-coded credentials (CWE-798) - CVE-2026-76131\u003c/li\u003e\u003cli\u003eMissing authentication for critical function (CWE-306) - CVE-2026-76137\u003c/li\u003e\u003c/ul\u003eZero reported these vulnerabilities to JPCERT/CC.\r\nJPCERT/CC coordinated with the developer.",
"link": "https://jvndb.jvn.jp/en/contents/2026/JVNDB-2026-029751.html",
"sec:cpe": {
"#text": "cpe:/a:yamaha:vocaloid6_editor",
"@product": "VOCALOID6 Editor",
"@vendor": "Yamaha Corporation",
"@version": "2.2"
},
"sec:cvss": {
"@score": "5.3",
"@severity": "Medium",
"@type": "Base",
"@vector": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"@version": "3.0"
},
"sec:identifier": "JVNDB-2026-029751",
"sec:references": [
{
"#text": "https://jvn.jp/en/vu/JVNVU90210212/index.html",
"@id": "JVNVU#90210212",
"@source": "JVN"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2026-76131",
"@id": "CVE-2026-76131",
"@source": "CVE"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2026-76137",
"@id": "CVE-2026-76137",
"@source": "CVE"
},
{
"#text": "https://cwe.mitre.org/data/definitions/306.html",
"@id": "CWE-306",
"@title": "Missing Authentication for Critical Function(CWE-306)"
},
{
"#text": "https://cwe.mitre.org/data/definitions/798.html",
"@id": "CWE-798",
"@title": "Use of Hard-coded Credentials(CWE-798)"
}
],
"title": "Multiple vulnerabilities in Yamaha VOCALOID6 Editor"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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