VAR-201906-0547
Vulnerability from variot - Updated: 2023-12-18 12:36On Shenzhen Cylan Clever Dog Smart Camera DOG-2W and DOG-2W-V4 devices, an attacker on the network can login remotely to the camera and gain root access. The device ships with a hardcoded 12345678 password for the root account, accessible from a TELNET login prompt. Shenzhen Cylan Clever Dog Smart Camera DOG-2W and DOG-2W-V4 The device contains a vulnerability related to the use of hard-coded credentials.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. ShenzhenCylanTechnologyCleverDogSmartCameraDOG-2W and ShenzhenCylanTechnologyCleverDogSmartCameraDOG-2W-V4 are smart cameras from China's Shenzhen CylanTechnology
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}
},
"data": "trust management problem",
"sources": [
{
"db": "CNNVD",
"id": "CNNVD-201906-848"
}
],
"trust": 0.6
}
}
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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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