CVE-2023-28576 (GCVE-0-2023-28576)
Vulnerability from cvelistv5 – Published: 2023-08-08 09:15 – Updated: 2024-08-02 13:43
VLAI
EPSS
VEX
Title
Time-of-check Time-of-use (TOCTOU) Race Condition in Camera Kernel Driver
Summary
The buffer obtained from kernel APIs such as cam_mem_get_cpu_buf() may be readable/writable in userspace after kernel accesses it. In other words, user mode may race and modify the packet header (e.g. header.count), causing checks (e.g. size checks) in kernel code to be invalid. This may lead to out-of-bounds read/write issues.
Severity
6.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-08 17:04 UTC
CWE
- CWE-367 - Time-of-check Time-of-use (TOCTOU) Race Condition
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
FastConnect 6800
Affected: FastConnect 6900 Affected: FastConnect 7800 Affected: QCA6391 Affected: QCA6426 Affected: QCA6436 Affected: QCN9074 Affected: QCS410 Affected: QCS610 Affected: SD865 5G Affected: Snapdragon 8 Gen 1 Mobile Platform Affected: Snapdragon 865 5G Mobile Platform Affected: Snapdragon 865+ 5G Mobile Platform (SM8250-AB) Affected: Snapdragon 870 5G Mobile Platform (SM8250-AC) Affected: Snapdragon X55 5G Modem-RF System Affected: Snapdragon XR2 5G Platform Affected: SW5100 Affected: SW5100P Affected: SXR2130 Affected: WCD9341 Affected: WCD9370 Affected: WCD9380 Affected: WCN3660B Affected: WCN3680B Affected: WCN3950 Affected: WCN3980 Affected: WCN3988 Affected: WSA8810 Affected: WSA8815 Affected: WSA8830 Affected: WSA8835 |
guessed |
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"cveId": "CVE-2023-28576",
"datePublished": "2023-08-08T09:15:05.943Z",
"dateReserved": "2023-03-17T11:41:45.850Z",
"dateUpdated": "2024-07-08T17:05:12.003Z",
"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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