CVE-2024-38414 (GCVE-0-2024-38414)
Vulnerability from cvelistv5 – Published: 2025-02-03 16:51 – Updated: 2025-02-03 17:42
VLAI
EPSS
VEX
Title
Buffer Over-read in Computer Vision
Summary
Information disclosure while processing information on firmware image during core initialization.
Severity
6.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-03 17:42 UTC
CWE
- CWE-126 - Buffer Over-read
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
FastConnect 6900
Affected: FastConnect 7800 Affected: QAM8295P Affected: QCA6174A Affected: QCA6574AU Affected: QCA6696 Affected: SA6145P Affected: SA6150P Affected: SA6155P Affected: SA8145P Affected: SA8150P Affected: SA8155P Affected: SA8195P Affected: SA8295P Affected: SA8530P Affected: SA8540P Affected: SA9000P Affected: Snapdragon 8 Gen 1 Mobile Platform Affected: Snapdragon 888 5G Mobile Platform Affected: Snapdragon 888+ 5G Mobile Platform (SM8350-AC) Affected: Snapdragon W5+ Gen 1 Wearable Platform Affected: SW5100 Affected: SW5100P Affected: WCD9380 Affected: WCD9385 Affected: WCN3980 Affected: WCN3988 Affected: WSA8830 Affected: WSA8835 |
guessed |
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"redhat_vex": {
"current_release_date": "2025-05-28T22:18:30+00:00",
"cve": "CVE-2024-38414",
"id": "CVE-2024-38414",
"initial_release_date": "2024-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Buffer Over-read in Computer Vision",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-38414.json",
"version": "3"
},
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"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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