VAR-201906-0829
Vulnerability from variot - Updated: 2023-12-18 12:00An issue was discovered on Vera Veralite 1.7.481 devices. The device has an additional OpenWRT interface in addition to the standard web interface which allows the highest privileges a user can obtain on the device. This web interface uses root as the username and the password in the /etc/cmh/cmh.conf file which can be extracted by an attacker using a directory traversal attack, and then log in to the device with the highest privileges. Vera Veralite The device contains vulnerabilities related to certificate and password management.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state
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"data": "trust management problem",
"sources": [
{
"db": "CNNVD",
"id": "CNNVD-201706-123"
}
],
"trust": 0.6
}
}
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.
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.
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.