GSD-2017-6421
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
In the touch controller function in all Qualcomm products with Android for MSM, Firefox OS for MSM, or QRD Android, a variable may be controlled by the user and can lead to a buffer overflow.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-6421",
"description": "In the touch controller function in all Qualcomm products with Android for MSM, Firefox OS for MSM, or QRD Android, a variable may be controlled by the user and can lead to a buffer overflow.",
"id": "GSD-2017-6421",
"references": [
"https://www.suse.com/security/cve/CVE-2017-6421.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "In the touch controller function in all Qualcomm products with Android for MSM, Firefox OS for MSM, or QRD Android, a variable may be controlled by the user and can lead to a buffer overflow.",
"id": "GSD-2017-6421",
"modified": "2023-12-13T01:21:09.839494Z",
"schema_version": "1.4.0"
}
},
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"ASSIGNER": "product-security@qualcomm.com",
"DATE_PUBLIC": "2017-05-01T00:00:00",
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},
"affects": {
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{
"product": {
"product_data": [
{
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"version": {
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"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Buffer Copy without Checking Size of Input in Touch"
}
]
}
]
},
"references": {
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"name": "https://source.android.com/security/bulletin/2017-06-01",
"refsource": "CONFIRM",
"url": "https://source.android.com/security/bulletin/2017-06-01"
},
{
"name": "https://source.codeaurora.org/quic/la//kernel/msm-4.4/commit/?id=be42c7ff1f0396484882451fd18f47144c8f1b6b",
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}
]
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},
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"nodes": [
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "ADJACENT_NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:A/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 6.5,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackVector": "ADJACENT_NETWORK",
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"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
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"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2019-10-03T00:03Z",
"publishedDate": "2017-08-16T15:29Z"
}
}
}
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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.
- 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.
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- Patched: The vulnerability was 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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