FKIE_CVE-2018-11980
Vulnerability from fkie_nvd - Published: 2019-12-18 06:15 - Updated: 2026-06-17 01:36
Severity
Summary
When a fake broadcast/multicast 11w rmf without mmie received, since no proper length check in wma_process_bip, buffer overflow will happen in both cds_is_mmie_valid and qdf_nbuf_trim_tail in Snapdragon Auto, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music in APQ8009, APQ8017, APQ8053, APQ8064, APQ8096AU, MDM9206, MDM9207C, MDM9607, MDM9640, MDM9650, MSM8937, MSM8996AU, MSM8998, QCA6174A, QCA6574AU, QCA9377, QCA9379, QCN7605, QCS605, SDM630, SDM636, SDM660, SDX20, SDX24, SDX55, SM6150, SM7150, SM8150, SXR1130
References
Impacted products
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"value": "When a fake broadcast/multicast 11w rmf without mmie received, since no proper length check in wma_process_bip, buffer overflow will happen in both cds_is_mmie_valid and qdf_nbuf_trim_tail in Snapdragon Auto, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music in APQ8009, APQ8017, APQ8053, APQ8064, APQ8096AU, MDM9206, MDM9207C, MDM9607, MDM9640, MDM9650, MSM8937, MSM8996AU, MSM8998, QCA6174A, QCA6574AU, QCA9377, QCA9379, QCN7605, QCS605, SDM630, SDM636, SDM660, SDX20, SDX24, SDX55, SM6150, SM7150, SM8150, SXR1130"
},
{
"lang": "es",
"value": "Cuando se recibi\u00f3 una transmisi\u00f3n multidifusi\u00f3n falsa 11w rmf sin mmie, ya que no se comprob\u00f3 la longitud apropiada en wma_process_bip, un desbordamiento del b\u00fafer se presentar\u00e1 en cds_is_mmie_valid y qdf_nbuf_trim_tail en los productos Snapdragon Auto, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026amp; Music en las versiones APQ8009, APQ8017, APQ8053, APQ8064, APQ8096AU, MDM9206, MDM9207C, MDM9607, MDM9640, MDM9650, MSM8937, MSM8996AU, MSM8998, QCA6174A, QCA6574AU, QCA9377, QCA9379, QCN7605, QCS605, SDM630, SDM636, SDM660, SDX20, SDX24, SDX55, SM6150, SM7150, SM8150, SXR1130."
}
],
"id": "CVE-2018-11980",
"lastModified": "2026-06-17T01:36:56.743",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.2,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:L/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2019-12-18T06:15:10.940",
"references": [
{
"source": "product-security@qualcomm.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.qualcomm.com/company/product-security/bulletins/december-2019-bulletin"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.qualcomm.com/company/product-security/bulletins/december-2019-bulletin"
}
],
"sourceIdentifier": "product-security@qualcomm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-120"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.