GSD-2006-4178
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Integer signedness error in the i386_set_ldt call in FreeBSD 5.5, and possibly earlier versions down to 5.2, allows local users to cause a denial of service (crash) via unspecified arguments that use negative signed integers to cause the bzero function to be called with a large length parameter, a different vulnerability than CVE-2006-4172.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2006-4178",
"description": "Integer signedness error in the i386_set_ldt call in FreeBSD 5.5, and possibly earlier versions down to 5.2, allows local users to cause a denial of service (crash) via unspecified arguments that use negative signed integers to cause the bzero function to be called with a large length parameter, a different vulnerability than CVE-2006-4172.",
"id": "GSD-2006-4178"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
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"id": "GSD-2006-4178",
"modified": "2023-12-13T01:19:51.340925Z",
"schema_version": "1.4.0"
}
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"impact": {
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"cvssV2": {
"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"
},
"exploitabilityScore": 3.9,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2018-10-17T21:33Z",
"publishedDate": "2006-09-26T02:07Z"
}
}
}
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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
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- 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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