GSD-2006-5405
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Unspecified vulnerability in Toshiba Bluetooth wireless device driver 3.x and 4 through 4.00.35, as used in multiple products, allows physically proximate attackers to cause a denial of service (crash), corrupt memory, and possibly execute arbitrary code via crafted Bluetooth packets.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2006-5405",
"description": "Unspecified vulnerability in Toshiba Bluetooth wireless device driver 3.x and 4 through 4.00.35, as used in multiple products, allows physically proximate attackers to cause a denial of service (crash), corrupt memory, and possibly execute arbitrary code via crafted Bluetooth packets.",
"id": "GSD-2006-5405"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "Unspecified vulnerability in Toshiba Bluetooth wireless device driver 3.x and 4 through 4.00.35, as used in multiple products, allows physically proximate attackers to cause a denial of service (crash), corrupt memory, and possibly execute arbitrary code via crafted Bluetooth packets.",
"id": "GSD-2006-5405",
"modified": "2023-12-13T01:19:55.852253Z",
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}
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"name": "20061017 SecureWorks Research Client Advisory: Multiple Vendor Bluetooth Memory Stack Corruption Vulnerability",
"refsource": "VIM",
"url": "http://attrition.org/pipermail/vim/2006-October/001085.html"
},
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{
"name": "20061012 SecureWorks Research Client Advisory: Multiple Vendor Bluetooth Memory Stack Corruption Vulnerability",
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "HIGH",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 6.2,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:L/AC:H/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 1.9,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2018-10-17T21:42Z",
"publishedDate": "2006-10-19T01:07Z"
}
}
}
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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
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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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