GSD-2004-0434
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
k5admind (kadmind) for Heimdal allows remote attackers to execute arbitrary code via a Kerberos 4 compatibility administration request whose framing length is less than 2, which leads to a heap-based buffer overflow.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2004-0434",
"description": "k5admind (kadmind) for Heimdal allows remote attackers to execute arbitrary code via a Kerberos 4 compatibility administration request whose framing length is less than 2, which leads to a heap-based buffer overflow.",
"id": "GSD-2004-0434",
"references": [
"https://www.debian.org/security/2004/dsa-504"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2004-0434",
"modified": "2023-12-13T01:22:54.827515Z",
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}
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"refsource": "XF",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/16071"
},
{
"name": "DSA-504",
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"url": "http://www.debian.org/security/2004/dsa-504"
},
{
"name": "20040506 Advisory: Heimdal kadmind version4 remote heap overflow",
"refsource": "FULLDISC",
"url": "http://lists.grok.org.uk/pipermail/full-disclosure/2004-May/020998.html"
},
{
"name": "20040505 Advisory: Heimdal kadmind version4 remote heap overflow",
"refsource": "BUGTRAQ",
"url": "http://marc.info/?l=bugtraq\u0026m=108386148126457\u0026w=2"
},
{
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"url": "http://security.gentoo.org/glsa/glsa-200405-23.xml"
},
{
"name": "FreeBSD-SA-04:09",
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}
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},
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"value": "k5admind (kadmind) de Heimdal permite a atacantes remotos ejecutar c\u00f3digo arbitrario mediante una petici\u00f3n de administraci\u00f3n de Kerberos 4 con longitud de marco menor de 2, lo que conduce a un desbordameinte de b\u00fafer basado en el mont\u00f3n."
}
],
"id": "CVE-2004-0434",
"lastModified": "2024-02-02T03:05:48.270",
"metrics": {
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"published": "2004-07-07T04:00:00.000",
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
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"lang": "en",
"value": "CWE-131"
}
],
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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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