CVE-2024-21453 (GCVE-0-2024-21453)
Vulnerability from cvelistv5 – Published: 2024-04-01 15:06 – Updated: 2024-08-01 22:20
VLAI
EPSS
VEX
Title
Improper Input Validation in Automotive Telematics
Summary
Transient DOS while decoding message of size that exceeds the available system memory.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-01 18:14 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
Impacted products
14 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
C-V2X 9150
Affected: QCS410 Affected: QCS610 Affected: Qualcomm Video Collaboration VC1 Platform Affected: Qualcomm Video Collaboration VC3 Platform Affected: Snapdragon Auto 5G Modem-RF Affected: Snapdragon Auto 4G Modem Affected: WCD9341 Affected: WCD9370 Affected: WCN3950 Affected: WCN3980 Affected: WSA8810 Affected: WSA8815 |
guessed | |
| qualcomm | wcn3980 |
Affected:
0
cpe:2.3:h:qualcomm:wcn3980:-:*:*:*:*:*:*:* |
||
| qualcomm | wsa8810 |
Affected:
0
cpe:2.3:h:qualcomm:wsa8810:-:*:*:*:*:*:*:* |
||
| qualcomm | c-v2x_9150 |
Affected:
0
cpe:2.3:a:qualcomm:c-v2x_9150:*:*:*:*:*:*:*:* |
||
| qualcomm | qcs410 |
Affected:
0
cpe:2.3:h:qualcomm:qcs410:-:*:*:*:*:*:*:* |
||
| qualcomm | qcs610 |
Affected:
0
cpe:2.3:h:qualcomm:qcs610:-:*:*:*:*:*:*:* |
||
| qualcomm | video_collaboration_vc1 |
Affected:
0
cpe:2.3:h:qualcomm:video_collaboration_vc1:-:*:*:*:*:*:*:* |
||
| qualcomm | video_collaboration_vc3 |
Affected:
0
cpe:2.3:h:qualcomm:video_collaboration_vc3:-:*:*:*:*:*:*:* |
||
| qualcomm | snapdragon_auto_5g_modem-rf |
Affected:
0
cpe:2.3:h:qualcomm:snapdragon_auto_5g_modem-rf:-:*:*:*:*:*:*:* |
||
| qualcomm | snapdragon_auto_4g_modem |
Affected:
0
cpe:2.3:a:qualcomm:snapdragon_auto_4g_modem:*:*:*:*:*:*:*:* |
||
| qualcomm | wcd9341 |
Affected:
0
cpe:2.3:h:qualcomm:wcd9341:-:*:*:*:*:*:*:* |
||
| qualcomm | wcd9370 |
Affected:
0
cpe:2.3:h:qualcomm:wcd9370:-:*:*:*:*:*:*:* |
||
| qualcomm | wcn3950 |
Affected:
0
cpe:2.3:h:qualcomm:wcn3950:-:*:*:*:*:*:*:* |
||
| qualcomm | wsa8815 |
Affected:
0
cpe:2.3:h:qualcomm:wsa8815:-:*:*:*:*:*:*:* |
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"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-04-01T18:14:42.283096Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-08-01T13:51:06.193Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"platforms": [
"Snapdragon Auto",
"Snapdragon Consumer IOT"
],
"product": "Snapdragon",
"vendor": "Qualcomm, Inc.",
"versions": [
{
"status": "affected",
"version": "C-V2X 9150"
},
{
"status": "affected",
"version": "QCS410"
},
{
"status": "affected",
"version": "QCS610"
},
{
"status": "affected",
"version": "Qualcomm Video Collaboration VC1 Platform"
},
{
"status": "affected",
"version": "Qualcomm Video Collaboration VC3 Platform"
},
{
"status": "affected",
"version": "Snapdragon Auto 5G Modem-RF"
},
{
"status": "affected",
"version": "Snapdragon Auto 4G Modem"
},
{
"status": "affected",
"version": "WCD9341"
},
{
"status": "affected",
"version": "WCD9370"
},
{
"status": "affected",
"version": "WCN3950"
},
{
"status": "affected",
"version": "WCN3980"
},
{
"status": "affected",
"version": "WSA8810"
},
{
"status": "affected",
"version": "WSA8815"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Transient DOS while decoding message of size that exceeds the available system memory."
}
],
"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-20",
"description": "CWE-20 Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-04-12T08:39:02.719Z",
"orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"shortName": "qualcomm"
},
"references": [
{
"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/april-2024-bulletin.html"
}
],
"title": "Improper Input Validation in Automotive Telematics"
}
},
"cveMetadata": {
"assignerOrgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"assignerShortName": "qualcomm",
"cveId": "CVE-2024-21453",
"datePublished": "2024-04-01T15:06:01.731Z",
"dateReserved": "2023-12-12T06:07:46.902Z",
"dateUpdated": "2024-08-01T22:20:40.696Z",
"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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