GSD-2014-3205
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
backupmgt/pre_connect_check.php in Seagate BlackArmor NAS contains a hard-coded password of '!~@##$$%FREDESWWSED' for a backdoor user.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2014-3205",
"description": "backupmgt/pre_connect_check.php in Seagate BlackArmor NAS contains a hard-coded password of \u0027!~@##$$%FREDESWWSED\u0027 for a backdoor user.",
"id": "GSD-2014-3205"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2014-3205"
],
"details": "backupmgt/pre_connect_check.php in Seagate BlackArmor NAS contains a hard-coded password of \u0027!~@##$$%FREDESWWSED\u0027 for a backdoor user.",
"id": "GSD-2014-3205",
"modified": "2023-12-13T01:22:53.323079Z",
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}
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"impact": {
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"authentication": "NONE",
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},
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"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"severity": "HIGH",
"userInteractionRequired": false
},
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"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
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}
},
"lastModifiedDate": "2018-03-18T15:13Z",
"publishedDate": "2018-02-23T17:29Z"
}
}
}
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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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