JVNDB-2026-035794
Vulnerability from jvndb - Published: 2026-09-29 04:35 - Updated:2026-09-29 04:35
Severity
Summary
Multiple vulnerabilities in BUFFALO Wi-Fi Products
Details
The web configuration user interfaces of Wi-Fi products provided by BUFFALO INC. contain multiple vulnerabilities listed below.
- OS command injection (CWE-78) - CVE-2026-86530
- Stack-based buffer overflow (CWE-121) - CVE-2026-95104
References
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Impacted products
| Vendor | Product | |
|---|---|---|
{
"@rdf:about": "https://jvndb.jvn.jp/en/contents/2026/JVNDB-2026-035794.html",
"dc:date": "2026-09-29T13:35+09:00",
"dcterms:issued": "2026-09-29T13:35+09:00",
"dcterms:modified": "2026-09-29T13:35+09:00",
"description": "The web configuration user interfaces of Wi-Fi products provided by BUFFALO INC. contain multiple vulnerabilities listed below.\u003ca href=\u0027https://cwe.mitre.org/data/definitions/78.html\u0027 target=\u0027_blank\u0027\u003e\u003c/a\u003e\u003ca href=\u0027https://cwe.mitre.org/data/definitions/121.html\u0027 target=\u0027_blank\u0027\u003e\u003c/a\u003e\u003cul\u003e\u003cli\u003eOS command injection (CWE-78) - CVE-2026-86530\u003c/li\u003e\u003cli\u003eStack-based buffer overflow (CWE-121) - CVE-2026-95104\u003c/li\u003e\u003c/ul\u003eVeeti Punnonen reported these vulnerabilities to JPCERT/CC.\r\nJPCERT/CC coordinated with the developer.",
"link": "https://jvndb.jvn.jp/en/contents/2026/JVNDB-2026-035794.html",
"sec:cpe": [
{
"#text": "cpe:/h:buffalo_inc:wsr-300hp",
"@product": "WSR-300HP",
"@vendor": "BUFFALO INC.",
"@version": "2.2"
},
{
"#text": "cpe:/o:buffalo_inc:wex-g300",
"@product": "WEX-G300",
"@vendor": "BUFFALO INC.",
"@version": "2.2"
}
],
"sec:cvss": {
"@score": "7.2",
"@severity": "High",
"@type": "Base",
"@vector": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"@version": "3.0"
},
"sec:identifier": "JVNDB-2026-035794",
"sec:references": [
{
"#text": "https://jvn.jp/en/vu/JVNVU94863997/index.html",
"@id": "JVNVU#94863997",
"@source": "JVN"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2026-86530",
"@id": "CVE-2026-86530",
"@source": "CVE"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2026-95104",
"@id": "CVE-2026-95104",
"@source": "CVE"
},
{
"#text": "https://cwe.mitre.org/data/definitions/121.html",
"@id": "CWE-121",
"@title": "Stack-based Buffer Overflow(CWE-121)"
},
{
"#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
"@id": "CWE-78",
"@title": "OS Command Injection(CWE-78)"
}
],
"title": "Multiple vulnerabilities in BUFFALO Wi-Fi Products"
}
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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.
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- 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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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