GSD-2020-15931
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Netwrix Account Lockout Examiner before 5.1 allows remote attackers to capture the Net-NTLMv1/v2 authentication challenge hash of the Domain Administrator (that is configured within the product in its installation state) by generating a single Kerberos Pre-Authentication Failed (ID 4771) event on a Domain Controller.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-15931",
"description": "Netwrix Account Lockout Examiner before 5.1 allows remote attackers to capture the Net-NTLMv1/v2 authentication challenge hash of the Domain Administrator (that is configured within the product in its installation state) by generating a single Kerberos Pre-Authentication Failed (ID 4771) event on a Domain Controller.",
"id": "GSD-2020-15931"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2020-15931",
"modified": "2023-12-13T01:21:43.701246Z",
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}
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"impactScore": 2.9,
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"severity": "MEDIUM",
"userInteractionRequired": false
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"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"exploitabilityScore": 3.9,
"impactScore": 3.6
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},
"lastModifiedDate": "2021-07-21T11:39Z",
"publishedDate": "2020-10-20T20:15Z"
}
}
}
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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 |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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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