GSD-2006-4521
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The BerDecodeLoginDataRequest function in the libnmasldap.so NMAS module in Novell eDirectory 8.8 and 8.8.1 before the Security Services 2.0.3 patch does not properly increment a pointer when handling certain input, which allows remote attackers to cause a denial of service (invalid memory access) via a crafted login request.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2006-4521",
"description": "The BerDecodeLoginDataRequest function in the libnmasldap.so NMAS module in Novell eDirectory 8.8 and 8.8.1 before the Security Services 2.0.3 patch does not properly increment a pointer when handling certain input, which allows remote attackers to cause a denial of service (invalid memory access) via a crafted login request.",
"id": "GSD-2006-4521"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "The BerDecodeLoginDataRequest function in the libnmasldap.so NMAS module in Novell eDirectory 8.8 and 8.8.1 before the Security Services 2.0.3 patch does not properly increment a pointer when handling certain input, which allows remote attackers to cause a denial of service (invalid memory access) via a crafted login request.",
"id": "GSD-2006-4521",
"modified": "2023-12-13T01:19:51.266630Z",
"schema_version": "1.4.0"
}
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},
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"name": "ADV-2006-4293",
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{
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"cpe_name": [],
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{
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2017-07-20T01:33Z",
"publishedDate": "2006-11-04T00:07Z"
}
}
}
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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
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Nomenclature
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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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