GSD-2024-21901
Vulnerability from gsd - Updated: 2024-01-03 06:02Details
A SQL injection vulnerability has been reported to affect myQNAPcloud. If exploited, the vulnerability could allow authenticated administrators to inject malicious code via a network.
We have already fixed the vulnerability in the following versions:
myQNAPcloud 1.0.52 ( 2023/11/24 ) and later
QTS 4.5.4.2627 build 20231225 and later
Aliases
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"value": "Se ha informado que una vulnerabilidad de inyecci\u00f3n SQL afecta a myQNAPcloud. Si se explota, la vulnerabilidad podr\u00eda permitir a los administradores autenticados inyectar c\u00f3digo malicioso a trav\u00e9s de una red. Ya hemos solucionado la vulnerabilidad en las siguientes versiones: myQNAPcloud 1.0.52 (2023/11/24) y posteriores QTS 4.5.4.2627 compilaci\u00f3n 20231225 y posteriores"
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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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