GSD-2015-7296
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Securifi Almond devices with firmware before AL1-R201EXP10-L304-W34 and Almond-2015 devices with firmware before AL2-R088M use a linear algorithm for selecting the ID value in the header of a DNS query performed on behalf of the device itself, which makes it easier for remote attackers to spoof responses by including this ID value, as demonstrated by a response containing the address of the firmware update server, a different vulnerability than CVE-2015-2914.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2015-7296",
"description": "Securifi Almond devices with firmware before AL1-R201EXP10-L304-W34 and Almond-2015 devices with firmware before AL2-R088M use a linear algorithm for selecting the ID value in the header of a DNS query performed on behalf of the device itself, which makes it easier for remote attackers to spoof responses by including this ID value, as demonstrated by a response containing the address of the firmware update server, a different vulnerability than CVE-2015-2914.",
"id": "GSD-2015-7296"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "Securifi Almond devices with firmware before AL1-R201EXP10-L304-W34 and Almond-2015 devices with firmware before AL2-R088M use a linear algorithm for selecting the ID value in the header of a DNS query performed on behalf of the device itself, which makes it easier for remote attackers to spoof responses by including this ID value, as demonstrated by a response containing the address of the firmware update server, a different vulnerability than CVE-2015-2914.",
"id": "GSD-2015-7296",
"modified": "2023-12-13T01:20:01.730752Z",
"schema_version": "1.4.0"
}
},
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"url": "http://www.kb.cert.org/vuls/id/906576"
}
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2015-09-30T18:24Z",
"publishedDate": "2015-09-21T10:59Z"
}
}
}
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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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