VAR-202111-0749
Vulnerability from variot - Updated: 2024-11-23 19:57A vulnerability has been identified in Siveillance Video DLNA Server (2019 R1), Siveillance Video DLNA Server (2019 R2), Siveillance Video DLNA Server (2019 R3), Siveillance Video DLNA Server (2020 R1), Siveillance Video DLNA Server (2020 R2), Siveillance Video DLNA Server (2020 R3), Siveillance Video DLNA Server (2021 R1). The affected application contains a path traversal vulnerability that could allow to read arbitrary files on the server that are outside the application’s web document directory. An unauthenticated remote attacker could exploit this issue to access sensitive information for subsequent attacks. Siveillance Video DLNA Server Exists in a past traversal vulnerability.Information may be obtained
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.