CVE-2025-27036 (GCVE-0-2025-27036)
Vulnerability from cvelistv5 – Published: 2025-09-24 15:33 – Updated: 2025-09-25 13:51
VLAI
EPSS
VEX
Title
Buffer Over-read in Video
Summary
Information disclosure when Video engine escape input data is less than expected minimum size.
Severity
6.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-25 13:51 UTC
CWE
- CWE-126 - Buffer Over-read
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
FastConnect 6700
Affected: FastConnect 6900 Affected: FastConnect 7800 Affected: QCM5430 Affected: QCM6490 Affected: QCS5430 Affected: QCS6490 Affected: Qualcomm Video Collaboration VC3 Platform Affected: SC8380XP Affected: Snapdragon 7c+ Gen 3 Compute Affected: Snapdragon 8cx Gen 3 Compute Platform (SC8280XP-AB, BB) Affected: WCD9370 Affected: WCD9375 Affected: WCD9380 Affected: WCD9385 Affected: WSA8830 Affected: WSA8835 Affected: WSA8840 Affected: WSA8845 Affected: WSA8845H |
guessed |
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"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Information disclosure when Video engine escape input data is less than expected minimum size."
}
],
"id": "CVE-2025-27036",
"lastModified": "2026-06-17T09:02:48.553",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
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"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 4.2,
"source": "product-security@qualcomm.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-27036",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-25T13:51:23.757487Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-09-24T16:15:35.857",
"references": [
{
"source": "product-security@qualcomm.com",
"tags": [
"Vendor Advisory"
],
"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/september-2025-bulletin.html"
}
],
"sourceIdentifier": "product-security@qualcomm.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-126"
}
],
"source": "product-security@qualcomm.com",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2025-09-25T15:48:59+00:00",
"cve": "CVE-2025-27036",
"id": "CVE-2025-27036",
"initial_release_date": "2025-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Buffer Over-read in Video",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-27036.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-27036",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-25T13:51:23.757487Z",
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"type": "ssvc"
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}
],
"providerMetadata": {
"dateUpdated": "2025-09-25T13:51:26.384Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
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{
"defaultStatus": "unaffected",
"platforms": [
"Snapdragon Compute",
"Snapdragon Industrial IOT"
],
"product": "Snapdragon",
"vendor": "Qualcomm, Inc.",
"versions": [
{
"status": "affected",
"version": "FastConnect 6700"
},
{
"status": "affected",
"version": "FastConnect 6900"
},
{
"status": "affected",
"version": "FastConnect 7800"
},
{
"status": "affected",
"version": "QCM5430"
},
{
"status": "affected",
"version": "QCM6490"
},
{
"status": "affected",
"version": "QCS5430"
},
{
"status": "affected",
"version": "QCS6490"
},
{
"status": "affected",
"version": "Qualcomm Video Collaboration VC3 Platform"
},
{
"status": "affected",
"version": "SC8380XP"
},
{
"status": "affected",
"version": "Snapdragon 7c+ Gen 3 Compute"
},
{
"status": "affected",
"version": "Snapdragon 8cx Gen 3 Compute Platform (SC8280XP-AB, BB)"
},
{
"status": "affected",
"version": "WCD9370"
},
{
"status": "affected",
"version": "WCD9375"
},
{
"status": "affected",
"version": "WCD9380"
},
{
"status": "affected",
"version": "WCD9385"
},
{
"status": "affected",
"version": "WSA8830"
},
{
"status": "affected",
"version": "WSA8835"
},
{
"status": "affected",
"version": "WSA8840"
},
{
"status": "affected",
"version": "WSA8845"
},
{
"status": "affected",
"version": "WSA8845H"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Information disclosure when Video engine escape input data is less than expected minimum size."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-126",
"description": "CWE-126 Buffer Over-read",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-09-24T15:33:42.243Z",
"orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"shortName": "qualcomm"
},
"references": [
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"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/september-2025-bulletin.html"
}
],
"title": "Buffer Over-read in Video"
}
},
"cveMetadata": {
"assignerOrgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"assignerShortName": "qualcomm",
"cveId": "CVE-2025-27036",
"datePublished": "2025-09-24T15:33:42.243Z",
"dateReserved": "2025-02-18T09:19:46.883Z",
"dateUpdated": "2025-09-25T13:51:30.067Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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