FKIE_CVE-2026-33960
Vulnerability from fkie_nvd - Published: 2026-09-14 02:17 - Updated: 2026-09-14 02:17
Severity
Summary
An issue was discovered in Samsung Mobile Processor and Wearable Processor Exynos 1330, 1380, 1480, 1580, 1680, W920, W930, and W1000. . A malformed ioctl command to the Wi-Fi interface device can lead to improper buffer size allocation, resulting in an out-of-bounds write and causing a denial of service (DoS).
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"product": "Exynos 1330 firmware",
"vendor": "Samsung",
"versions": [
{
"lessThanOrEqual": "2025-12-18",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An issue was discovered in Samsung Mobile Processor and Wearable Processor Exynos 1330, 1380, 1480, 1580, 1680, W920, W930, and W1000. . A malformed ioctl command to the Wi-Fi interface device can lead to improper buffer size allocation, resulting in an out-of-bounds write and causing a denial of service (DoS)."
}
],
"id": "CVE-2026-33960",
"lastModified": "2026-09-14T02:17:14.547",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 2.8,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 1.1,
"impactScore": 1.4,
"source": "cve@mitre.org",
"type": "Secondary"
}
]
},
"published": "2026-09-14T02:17:14.547",
"references": [
{
"source": "cve@mitre.org",
"url": "https://semiconductor.samsung.com/support/quality-support/product-security-updates/"
},
{
"source": "cve@mitre.org",
"url": "https://semiconductor.samsung.com/support/quality-support/product-security-updates/cve-2026-33960/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "cve@mitre.org",
"type": "Primary"
}
]
}
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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.
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.
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