CVE-2023-33070 (GCVE-0-2023-33070)
Vulnerability from cvelistv5 – Published: 2023-12-05 03:04 – Updated: 2025-05-29 13:31
VLAI
EPSS
VEX
Title
Improper Authentication in Automotive OS
Summary
Transient DOS in Automotive OS due to improper authentication to the secure IO calls.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-29 13:31 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
qualcomm
CNA
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
AQT1000
Affected: AR8031 Affected: AR8035 Affected: C-V2X 9150 Affected: CSRA6620 Affected: CSRA6640 Affected: CSRB31024 Affected: FastConnect 6200 Affected: QAM8255P Affected: QAM8295P Affected: QAM8775P Affected: QCA6174A Affected: QCA6310 Affected: QCA6335 Affected: QCA6391 Affected: QCA6420 Affected: QCA6430 Affected: QCA6564 Affected: QCA6564AU Affected: QCA6574 Affected: QCA6574A Affected: QCA6574AU Affected: QCA6595 Affected: QCA6595AU Affected: QCA6696 Affected: QCA6698AQ Affected: QCA8337 Affected: QCA9377 Affected: QCM6125 Affected: QCN9074 Affected: QCS410 Affected: QCS610 Affected: QCS6125 Affected: QCS8155 Affected: Qualcomm 205 Mobile Platform Affected: Qualcomm 215 Mobile Platform Affected: Qualcomm Video Collaboration VC1 Platform Affected: Qualcomm Video Collaboration VC3 Platform Affected: Robotics RB3 Platform Affected: SA6145P Affected: SA6150P Affected: SA6155 Affected: SA6155P Affected: SA8145P Affected: SA8150P Affected: SA8155 Affected: SA8155P Affected: SA8195P Affected: SA8255P Affected: SA8295P Affected: SA8540P Affected: SA8770P Affected: SA8775P Affected: SA9000P Affected: SD 675 Affected: SD660 Affected: SD675 Affected: SD730 Affected: SD855 Affected: SDM429W Affected: SDX55 Affected: Smart Audio 400 Platform Affected: Snapdragon 210 Processor Affected: Snapdragon 212 Mobile Platform Affected: Snapdragon 429 Mobile Platform Affected: Snapdragon 660 Mobile Platform Affected: Snapdragon 665 Mobile Platform Affected: Snapdragon 675 Mobile Platform Affected: Snapdragon 678 Mobile Platform (SM6150-AC) Affected: Snapdragon 730 Mobile Platform (SM7150-AA) Affected: Snapdragon 730G Mobile Platform (SM7150-AB) Affected: Snapdragon 732G Mobile Platform (SM7150-AC) Affected: Snapdragon 845 Mobile Platform Affected: Snapdragon 855 Mobile Platform Affected: Snapdragon 855+/860 Mobile Platform (SM8150-AC) Affected: Snapdragon Auto 5G Modem-RF Affected: Snapdragon Wear 4100+ Platform Affected: Snapdragon X24 LTE Modem Affected: Snapdragon Auto 4G Modem Affected: Vision Intelligence 300 Platform Affected: Vision Intelligence 400 Platform Affected: WCD9326 Affected: WCD9335 Affected: WCD9340 Affected: WCD9341 Affected: WCD9360 Affected: WCD9370 Affected: WCD9371 Affected: WCD9375 Affected: WCN3610 Affected: WCN3615 Affected: WCN3620 Affected: WCN3660B Affected: WCN3680 Affected: WCN3680B Affected: WCN3950 Affected: WCN3980 Affected: WCN3990 Affected: WSA8810 Affected: WSA8815 |
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-287",
"description": "CWE-287 Improper Authentication",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-04-12T16:11:52.248Z",
"orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"shortName": "qualcomm"
},
"references": [
{
"url": "https://www.qualcomm.com/company/product-security/bulletins/december-2023-bulletin"
}
],
"title": "Improper Authentication in Automotive OS"
}
},
"cveMetadata": {
"assignerOrgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"assignerShortName": "qualcomm",
"cveId": "CVE-2023-33070",
"datePublished": "2023-12-05T03:04:12.248Z",
"dateReserved": "2023-05-17T09:28:53.131Z",
"dateUpdated": "2025-05-29T13:31:38.841Z",
"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.