CVE-2025-21457 (GCVE-0-2025-21457)
Vulnerability from cvelistv5 – Published: 2025-08-06 07:25 – Updated: 2025-08-06 14:37
VLAI
EPSS
VEX
Title
Buffer Over-read in Automotive OS Platform Android
Summary
Information disclosure while opening a fastrpc session when domain is not sanitized.
Severity
6.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-06 14:37 UTC
CWE
- CWE-126 - Buffer Over-read
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
AR8035
Affected: FastConnect 7800 Affected: QCA6584AU Affected: QCA6698AQ Affected: QCA8081 Affected: QCA8337 Affected: QCC710 Affected: QCN6224 Affected: QCN6274 Affected: QFW7114 Affected: QFW7124 Affected: Snapdragon Auto 5G Modem-RF Gen 2 Affected: Snapdragon X72 5G Modem-RF System Affected: Snapdragon X75 5G Modem-RF System Affected: WCD9340 |
guessed |
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"descriptions": [
{
"lang": "en",
"value": "Information disclosure while opening a fastrpc session when domain is not sanitized."
}
],
"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": "2025-08-06T07:25:50.337Z",
"orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"shortName": "qualcomm"
},
"references": [
{
"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/august-2025-bulletin.html"
}
],
"title": "Buffer Over-read in Automotive OS Platform Android"
}
},
"cveMetadata": {
"assignerOrgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"assignerShortName": "qualcomm",
"cveId": "CVE-2025-21457",
"datePublished": "2025-08-06T07:25:50.337Z",
"dateReserved": "2024-12-18T09:50:08.924Z",
"dateUpdated": "2025-08-06T14:37:52.448Z",
"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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