FKIE_CVE-2006-6130
Vulnerability from fkie_nvd - Published: 2006-11-28 01:07 - Updated: 2026-06-16 22:32
Severity
Summary
Apple Mac OS X AppleTalk allows local users to cause a denial of service (kernel panic) by calling the AIOCREGLOCALZN ioctl command with a crafted data structure on an AppleTalk socket.
References
{
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"source": "cve@mitre.org"
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"value": "Apple Mac OS X AppleTalk allows local users to cause a denial of service (kernel panic) by calling the AIOCREGLOCALZN ioctl command with a crafted data structure on an AppleTalk socket."
},
{
"lang": "es",
"value": "Apple Mac OS X AppleTalk permite a atacantes remotos provocar una denegaci\u00f3n de servicio (kernel panic) mediante una llamada al comando ioctl AIOCREGLOCALZN con una estructura de datos manipulada en un socket AppleTalk."
}
],
"id": "CVE-2006-6130",
"lastModified": "2026-06-16T22:32:31.587",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 4.9,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
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"impactScore": 6.9,
"obtainAllPrivilege": false,
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"published": "2006-11-28T01:07:00.000",
"references": [
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"source": "cve@mitre.org",
"url": "http://docs.info.apple.com/article.html?artnum=305214"
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"url": "http://www.securitytracker.com/id?1017751"
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{
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"tags": [
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"url": "http://www.us-cert.gov/cas/techalerts/TA07-072A.html"
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"url": "http://www.vupen.com/english/advisories/2007/0930"
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"url": "http://secunia.com/advisories/24479"
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"url": "http://www.osvdb.org/30722"
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"url": "http://www.securityfocus.com/bid/21317"
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"url": "http://www.securitytracker.com/id?1017751"
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"url": "http://www.vupen.com/english/advisories/2007/0930"
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/30552"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
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}
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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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