JVNDB-2005-000765
Vulnerability from jvndb - Published: 2008-05-20 15:00 - Updated:2008-05-20 15:00Summary
Buffalo router configuration management interface vulnerable to remote access and password leakage
Details
Some Buffalo routers have a vulnerability that could allow remote access from the WAN side. A remote attacker could exploit this vulnerability to manipulate a router by gaining administrative privileges.
By accessing the management interface, a remote attacker could also obtain user's account and password information of the ISP using the save settings function.
References
| Type | URL | |
|---|---|---|
Impacted products
| Vendor | Product | |
|---|---|---|
{
"@rdf:about": "https://jvndb.jvn.jp/en/contents/2005/JVNDB-2005-000765.html",
"dc:date": "2008-05-21T00:00+09:00",
"dcterms:issued": "2008-05-21T00:00+09:00",
"dcterms:modified": "2008-05-21T00:00+09:00",
"description": "Some Buffalo routers have a vulnerability that could allow remote access from the WAN side. A remote attacker could exploit this vulnerability to manipulate a router by gaining administrative privileges.\r\nBy accessing the management interface, a remote attacker could also obtain user\u0027s account and password information of the ISP using the save settings function.",
"link": "https://jvndb.jvn.jp/en/contents/2005/JVNDB-2005-000765.html",
"sec:cpe": [
{
"#text": "cpe:/h:buffalo_inc:bbr-4hg",
"@product": "BUFFALO BBR-4HG",
"@vendor": "BUFFALO INC.",
"@version": "2.2"
},
{
"#text": "cpe:/h:buffalo_inc:bbr-4mg",
"@product": "BUFFALO BBR-4MG",
"@vendor": "BUFFALO INC.",
"@version": "2.2"
}
],
"sec:cvss": {
"@score": "6.4",
"@severity": "Medium",
"@type": "Base",
"@vector": "AV:N/AC:L/Au:N/C:P/I:P/A:N",
"@version": "2.0"
},
"sec:identifier": "JVNDB-2005-000765",
"sec:references": {
"#text": "http://jvn.jp/en/jp/JVN55023557/index.html",
"@id": "JVN#55023557",
"@source": "JVN"
},
"title": "Buffalo router configuration management interface vulnerable to remote access and password leakage"
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…