GSD-2017-17065
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
An issue was discovered on D-Link DIR-605L Model B before FW2.11betaB06_hbrf devices, related to the code that handles the authentication values for HNAP. An attacker can cause a denial of service (device crash) or possibly have unspecified other impact by sending a sufficiently long string in the password field of the HTTP Basic Authentication section of the HTTP request.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-17065",
"description": "An issue was discovered on D-Link DIR-605L Model B before FW2.11betaB06_hbrf devices, related to the code that handles the authentication values for HNAP. An attacker can cause a denial of service (device crash) or possibly have unspecified other impact by sending a sufficiently long string in the password field of the HTTP Basic Authentication section of the HTTP request.",
"id": "GSD-2017-17065"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2017-17065"
],
"details": "An issue was discovered on D-Link DIR-605L Model B before FW2.11betaB06_hbrf devices, related to the code that handles the authentication values for HNAP. An attacker can cause a denial of service (device crash) or possibly have unspecified other impact by sending a sufficiently long string in the password field of the HTTP Basic Authentication section of the HTTP request.",
"id": "GSD-2017-17065",
"modified": "2023-12-13T01:21:04.864766Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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{
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"version": {
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}
]
},
"problemtype": {
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"reference_data": [
{
"name": "ftp://FTP2.DLINK.COM/SECURITY_ADVISEMENTS/DIR-605L/REVB/DIR-605L_REVB_FIRMWARE_PATCH_NOTES_2.11betaB06_HBRF_EN.pdf",
"refsource": "CONFIRM",
"url": "ftp://FTP2.DLINK.COM/SECURITY_ADVISEMENTS/DIR-605L/REVB/DIR-605L_REVB_FIRMWARE_PATCH_NOTES_2.11betaB06_HBRF_EN.pdf"
}
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"cpe_name": [],
"versionEndExcluding": "fw2.11betab06_hbrf",
"vulnerable": true
}
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"operator": "OR"
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"description": {
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}
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"tags": [
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-11-08T21:17Z",
"publishedDate": "2017-11-30T17:29Z"
}
}
}
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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
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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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