CVE-2023-23458 (GCVE-0-2023-23458)
Vulnerability from cvelistv5 – Published: 2023-02-15 00:00 – Updated: 2025-03-19 19:17
VLAI
EPSS
VEX
Title
Sunell DVR – Exposure of Sensitive Information
Summary
Sunell DVR, latest version, CWE-200: Exposure of Sensitive Information to an Unauthorized Actor through an unspecified request.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-19 19:17 UTC
CWE
Assigner
References
1 reference
Impacted products
Date Public
2023-02-15 00:00
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"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
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"url": "https://www.gov.il/en/Departments/faq/cve_advisories"
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],
"title": "CVE Program Container"
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"metrics": [
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"timestamp": "2025-03-19T19:17:04.626729Z",
"version": "2.0.3"
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"credits": [
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],
"datePublic": "2023-02-15T00:00:00.000Z",
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"source": {
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"discovery": "UNKNOWN"
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"datePublished": "2023-02-15T00:00:00.000Z",
"dateReserved": "2023-01-12T00:00:00.000Z",
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"state": "PUBLISHED"
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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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