GSD-2019-9502
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
The Broadcom wl WiFi driver is vulnerable to a heap buffer overflow. If the vendor information element data length is larger than 164 bytes, a heap buffer overflow is triggered in wlc_wpa_plumb_gtk. In the worst case scenario, by sending specially-crafted WiFi packets, a remote, unauthenticated attacker may be able to execute arbitrary code on a vulnerable system. More typically, this vulnerability will result in denial-of-service conditions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-9502",
"description": "The Broadcom wl WiFi driver is vulnerable to a heap buffer overflow. If the vendor information element data length is larger than 164 bytes, a heap buffer overflow is triggered in wlc_wpa_plumb_gtk. In the worst case scenario, by sending specially-crafted WiFi packets, a remote, unauthenticated attacker may be able to execute arbitrary code on a vulnerable system. More typically, this vulnerability will result in denial-of-service conditions.",
"id": "GSD-2019-9502",
"references": [
"https://www.suse.com/security/cve/CVE-2019-9502.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "The Broadcom wl WiFi driver is vulnerable to a heap buffer overflow. If the vendor information element data length is larger than 164 bytes, a heap buffer overflow is triggered in wlc_wpa_plumb_gtk. In the worst case scenario, by sending specially-crafted WiFi packets, a remote, unauthenticated attacker may be able to execute arbitrary code on a vulnerable system. More typically, this vulnerability will result in denial-of-service conditions.",
"id": "GSD-2019-9502",
"modified": "2023-12-13T01:23:47.605847Z",
"schema_version": "1.4.0"
}
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"version": {
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}
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{
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},
"lastModifiedDate": "2020-02-10T14:31Z",
"publishedDate": "2020-02-03T21:15Z"
}
}
}
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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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