CVE-2024-38404 (GCVE-0-2024-38404)
Vulnerability from cvelistv5 – Published: 2025-02-03 16:51 – Updated: 2025-02-03 17:44
VLAI
EPSS
VEX
Title
Buffer Over-read in Multi Mode Call Processor
Summary
Transient DOS when registration accept OTA is received with incorrect ciphering key data IE in modem.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-03 17:44 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: SDM429W Affected: SDX80M Affected: SM7675 Affected: SM7675P Affected: SM8635 Affected: SM8635P Affected: Snapdragon 429 Mobile Platform Affected: Snapdragon 8 Gen 3 Mobile Platform Affected: Snapdragon Auto 5G Modem-RF Gen 2 Affected: Snapdragon Wear 4100+ Platform Affected: Snapdragon X72 5G Modem-RF System Affected: Snapdragon X75 5G Modem-RF System Affected: WCD9340 Affected: WCD9370 Affected: WCD9375 Affected: WCD9390 Affected: WCD9395 Affected: WCN3610 Affected: WCN3620 Affected: WCN3660B Affected: WCN3680B Affected: WCN3980 Affected: WCN6755 Affected: WSA8830 Affected: WSA8832 Affected: WSA8835 Affected: WSA8840 Affected: WSA8845 Affected: WSA8845H |
guessed |
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},
{
"status": "affected",
"version": "WCD9340"
},
{
"status": "affected",
"version": "WCD9370"
},
{
"status": "affected",
"version": "WCD9375"
},
{
"status": "affected",
"version": "WCD9390"
},
{
"status": "affected",
"version": "WCD9395"
},
{
"status": "affected",
"version": "WCN3610"
},
{
"status": "affected",
"version": "WCN3620"
},
{
"status": "affected",
"version": "WCN3660B"
},
{
"status": "affected",
"version": "WCN3680B"
},
{
"status": "affected",
"version": "WCN3980"
},
{
"status": "affected",
"version": "WCN6755"
},
{
"status": "affected",
"version": "WSA8830"
},
{
"status": "affected",
"version": "WSA8832"
},
{
"status": "affected",
"version": "WSA8835"
},
{
"status": "affected",
"version": "WSA8840"
},
{
"status": "affected",
"version": "WSA8845"
},
{
"status": "affected",
"version": "WSA8845H"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Transient DOS when registration accept OTA is received with incorrect ciphering key data IE in modem."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"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": "2025-02-03T16:51:13.417Z",
"orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"shortName": "qualcomm"
},
"references": [
{
"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/february-2025-bulletin.html"
}
],
"title": "Buffer Over-read in Multi Mode Call Processor"
}
},
"cveMetadata": {
"assignerOrgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"assignerShortName": "qualcomm",
"cveId": "CVE-2024-38404",
"datePublished": "2025-02-03T16:51:13.417Z",
"dateReserved": "2024-06-16T00:50:18.902Z",
"dateUpdated": "2025-02-03T17:44:19.048Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.