FKIE_CVE-2009-4774
Vulnerability from fkie_nvd - Published: 2010-04-21 14:30 - Updated: 2026-06-16 23:14
Severity
Summary
Unspecified vulnerability in Sun Solaris 10 and OpenSolaris snv_49 through snv_117, when 64bit mode is used on the Intel x86 platform and a Linux (lx) branded zone is configured, allows local users to cause a denial of service (panic) via unspecified vectors, a different vulnerability than CVE-2007-6225.
References
Impacted products
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Unspecified vulnerability in Sun Solaris 10 and OpenSolaris snv_49 through snv_117, when 64bit mode is used on the Intel x86 platform and a Linux (lx) branded zone is configured, allows local users to cause a denial of service (panic) via unspecified vectors, a different vulnerability than CVE-2007-6225."
},
{
"lang": "es",
"value": "Vulnerabilidad sin especificar en Sun Solaris 10 y OpenSolaris snv_49 a la snv_117, cuando se usa el modo 64bit en las plataformas Intel x86 y la \"branded Zone\" est\u00e1 configurada, permite a usuarios locales provocar una denegaci\u00f3n de servicio (panic) a trav\u00e9s de vectores no especificados. Vulnerabilidad distinta del CVE-2007-6225."
}
],
"id": "CVE-2009-4774",
"lastModified": "2026-06-16T23:14:19.937",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "HIGH",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:H/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 1.9,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2010-04-21T14:30:00.473",
"references": [
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"tags": [
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"url": "http://sunsolve.sun.com/search/document.do?assetkey=1-26-266228-1"
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{
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"vulnStatus": "Modified",
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"value": "NVD-CWE-noinfo"
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],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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.
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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