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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"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\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2025-27036\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-09-25T13:51:23.757487Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-09-25T13:51:26.384Z\"}}], \"cna\": {\"title\": \"Buffer Over-read in Video\", \"metrics\": [{\"format\": \"CVSS\", \"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 6.1, \"attackVector\": \"LOCAL\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"LOW\", \"privilegesRequired\": \"LOW\", \"confidentialityImpact\": \"HIGH\"}, \"scenarios\": [{\"lang\": \"en\", \"value\": \"GENERAL\"}]}], \"affected\": [{\"vendor\": \"Qualcomm, Inc.\", \"product\": \"Snapdragon\", \"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\"}], \"platforms\": [\"Snapdragon Compute\", \"Snapdragon Industrial IOT\"], \"defaultStatus\": \"unaffected\"}], \"references\": [{\"url\": \"https://docs.qualcomm.com/product/publicresources/securitybulletin/september-2025-bulletin.html\"}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"Information disclosure when Video engine escape input data is less than expected minimum size.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-126\", \"description\": \"CWE-126 Buffer Over-read\"}]}], \"providerMetadata\": {\"orgId\": \"2cfc7d3e-20d3-47ac-8db7-1b7285aff15f\", \"shortName\": \"qualcomm\", \"dateUpdated\": \"2025-09-24T15:33:42.243Z\"}}}",
"cveMetadata": "{\"cveId\": \"CVE-2025-27036\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-09-25T13:51:30.067Z\", \"dateReserved\": \"2025-02-18T09:19:46.883Z\", \"assignerOrgId\": \"2cfc7d3e-20d3-47ac-8db7-1b7285aff15f\", \"datePublished\": \"2025-09-24T15:33:42.243Z\", \"assignerShortName\": \"qualcomm\"}",
"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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