GSD-2018-3579
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
In the WLAN driver in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel, event->num_entries_in_page is a value received from firmware that is not properly validated which can lead to a buffer over-read
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-3579",
"description": "In the WLAN driver in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel, event-\u003enum_entries_in_page is a value received from firmware that is not properly validated which can lead to a buffer over-read",
"id": "GSD-2018-3579"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2018-3579"
],
"details": "In the WLAN driver in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel, event-\u003enum_entries_in_page is a value received from firmware that is not properly validated which can lead to a buffer over-read",
"id": "GSD-2018-3579",
"modified": "2023-12-13T01:22:43.168027Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"ASSIGNER": "product-security@qualcomm.com",
"DATE_PUBLIC": "2018-05-11T00:00:00",
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Android for MSM, Firefox OS for MSM, QRD Android",
"version": {
"version_data": [
{
"version_value": "All Android releases from CAF using the Linux kernel"
}
]
}
}
]
},
"vendor_name": "Qualcomm, Inc."
}
]
}
},
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"value": "In the WLAN driver in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel, event-\u003enum_entries_in_page is a value received from firmware that is not properly validated which can lead to a buffer over-read"
}
]
},
"problemtype": {
"problemtype_data": [
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"description": [
{
"lang": "eng",
"value": "Buffer Over-read in WLAN"
}
]
}
]
},
"references": {
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"name": "https://www.codeaurora.org/security-bulletin/2018/05/11/may-2018-code-aurora-security-bulletin-2",
"refsource": "MISC",
"url": "https://www.codeaurora.org/security-bulletin/2018/05/11/may-2018-code-aurora-security-bulletin-2"
}
]
}
},
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"nodes": [
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}
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"impact": {
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"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
"baseMetricV3": {
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"baseScore": 5.5,
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"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
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},
"lastModifiedDate": "2019-10-03T00:03Z",
"publishedDate": "2018-06-12T20:29Z"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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