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GHSA-QXJH-59HJ-XH63
Vulnerability from github – Published: 2025-11-04 06:31 – Updated: 2025-11-04 06:31
VLAI
Details
Memory corruption while processing a GP command response.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2025-27074"
],
"database_specific": {
"cwe_ids": [
"CWE-131"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-11-04T04:15:38Z",
"severity": "HIGH"
},
"details": "Memory corruption while processing a GP command response.",
"id": "GHSA-qxjh-59hj-xh63",
"modified": "2025-11-04T06:31:11Z",
"published": "2025-11-04T06:31:11Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-27074"
},
{
"type": "WEB",
"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/november-2025-bulletin.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
CVE-2025-27074 (GCVE-0-2025-27074)
Vulnerability from cvelistv5 – Published: 2025-11-04 03:19 – Updated: 2026-02-26 17:47
VLAI
EPSS
VEX
Title
Incorrect Calculation of Buffer Size in SCE-Mink
Summary
Memory corruption while processing a GP command response.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-04 04:55 UTC
CWE
- CWE-131 - Incorrect Calculation of Buffer Size
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
APQ8064AU
Affected: CSR8811 Affected: Immersive Home 214 Platform Affected: Immersive Home 216 Platform Affected: Immersive Home 316 Platform Affected: Immersive Home 318 Platform Affected: IPQ5010 Affected: IPQ5028 Affected: IPQ8070 Affected: IPQ8070A Affected: IPQ8071 Affected: IPQ8071A Affected: IPQ8072 Affected: IPQ8072A Affected: IPQ8074 Affected: IPQ8074A Affected: IPQ8076 Affected: IPQ8076A Affected: IPQ8078 Affected: IPQ8078A Affected: IPQ8173 Affected: IPQ8174 Affected: IPQ9008 Affected: IPQ9574 Affected: MDM9640 Affected: MDM9650 Affected: MSM8996AU Affected: PMP8074 Affected: QCA4024 Affected: QCA6174A Affected: QCA6234 Affected: QCA6310 Affected: QCA6320 Affected: QCA6428 Affected: QCA6438 Affected: QCA6564A Affected: QCA6564AU Affected: QCA6574 Affected: QCA6574A Affected: QCA6574AU Affected: QCA6584AU Affected: QCA6694 Affected: QCA8072 Affected: QCA8075 Affected: QCA8081 Affected: QCA9888 Affected: QCA9889 Affected: QCA9984 Affected: QCN5022 Affected: QCN5024 Affected: QCN5052 Affected: QCN5054 Affected: QCN5064 Affected: QCN5122 Affected: QCN5124 Affected: QCN5152 Affected: QCN5154 Affected: QCN5164 Affected: QCN5550 Affected: QCN6023 Affected: QCN6024 Affected: QCN6100 Affected: QCN6102 Affected: QCN6112 Affected: QCN6122 Affected: QCN6132 Affected: QCN9000 Affected: QCN9001 Affected: QCN9002 Affected: QCN9003 Affected: QCN9012 Affected: QCN9022 Affected: QCN9024 Affected: QCN9070 Affected: QCN9072 Affected: QCN9074 Affected: QCN9100 Affected: QCN9274 Affected: SD820 Affected: SD821 Affected: SDM429W Affected: SDX55 Affected: Snapdragon 429 Mobile Platform Affected: Snapdragon 820 Automotive Platform Affected: Snapdragon 820 Mobile Platform Affected: Snapdragon 821 Mobile Platform Affected: Snapdragon Wear 4100+ Platform Affected: WCD9335 Affected: WCN3610 Affected: WCN3620 Affected: WCN3660B Affected: WCN3680B Affected: WCN3980 Affected: WSA8810 Affected: WSA8815 |
{
"containers": {
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{
"metrics": [
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"status": "affected",
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},
{
"status": "affected",
"version": "QCN5124"
},
{
"status": "affected",
"version": "QCN5152"
},
{
"status": "affected",
"version": "QCN5154"
},
{
"status": "affected",
"version": "QCN5164"
},
{
"status": "affected",
"version": "QCN5550"
},
{
"status": "affected",
"version": "QCN6023"
},
{
"status": "affected",
"version": "QCN6024"
},
{
"status": "affected",
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},
{
"status": "affected",
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},
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"status": "affected",
"version": "QCN6112"
},
{
"status": "affected",
"version": "QCN6122"
},
{
"status": "affected",
"version": "QCN6132"
},
{
"status": "affected",
"version": "QCN9000"
},
{
"status": "affected",
"version": "QCN9001"
},
{
"status": "affected",
"version": "QCN9002"
},
{
"status": "affected",
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},
{
"status": "affected",
"version": "QCN9012"
},
{
"status": "affected",
"version": "QCN9022"
},
{
"status": "affected",
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},
{
"status": "affected",
"version": "QCN9070"
},
{
"status": "affected",
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},
{
"status": "affected",
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"datePublished": "2025-11-04T03:19:13.447Z",
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"dateUpdated": "2026-02-26T17:47:31.803Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
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.
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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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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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