FKIE_CVE-2026-25262
Vulnerability from fkie_nvd - Published: 2026-09-22 10:17 - Updated: 2026-10-06 15:34
Severity
6.9 (Medium) - CVSS:3.1/AV:P/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:H
6.3 (Medium) - CVSS:3.1/AV:P/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
6.3 (Medium) - CVSS:3.1/
Summary
Memory corruption while processing a crafted ELF file in the Primary Bootloader.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| qualcomm | mdm9207_firmware | - | |
| qualcomm | mdm9207 | - | |
| qualcomm | mdm9655_firmware | - | |
| qualcomm | mdm9655 | - | |
| qualcomm | mdm9665_firmware | - | |
| qualcomm | mdm9665 | - | |
| qualcomm | msm8909_firmware | - | |
| qualcomm | msm8909 | - | |
| qualcomm | msm8916_firmware | - | |
| qualcomm | msm8916 | - | |
| qualcomm | msm8952_firmware | - | |
| qualcomm | msm8952 | - | |
| qualcomm | sdx50_firmware | - | |
| qualcomm | sdx50 | - | |
| qualcomm | mdm9645_firmware | - | |
| qualcomm | mdm9645 | - |
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{
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{
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"platforms": [
"Snapdragon Auto",
"Snapdragon Industrial IOT",
"Snapdragon IoT",
"Snapdragon Mobile",
"Snapdragon Voice \u0026 Music",
"Snapdragon Wearables"
],
"product": "Snapdragon",
"vendor": "Qualcomm, Inc.",
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"version": "MDM9x07"
},
{
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},
{
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},
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},
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},
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},
{
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},
{
"status": "affected",
"version": "SDX50"
}
]
}
],
"source": "product-security@qualcomm.com"
}
],
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{
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"value": "Memory corruption while processing a crafted ELF file in the Primary Bootloader."
}
],
"id": "CVE-2026-25262",
"lastModified": "2026-10-06T15:34:57.523",
"metrics": {
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"baseScore": 6.9,
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"role": "CISA Coordinator",
"timestamp": "2026-09-22T10:06:44.108900Z",
"version": "2.0.3"
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},
"published": "2026-09-22T10:17:08.973",
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"tags": [
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],
"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/may-2026-bulletin.html"
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}
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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.
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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