CVE-2012-3554 (GCVE-0-2012-3554)
Vulnerability from cvelistv5 – Published: 2012-08-10 10:00 – Updated: 2024-09-16 16:22
VLAI
EPSS
VEX
Summary
SQL injection vulnerability in the RSGallery2 (com_rsgallery2) component before 2.3.0 for Joomla! 1.5.x, and before 3.2.0 for Joomla! 2.5.x, allows remote attackers to execute arbitrary SQL commands via unspecified vectors.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://www.rsgallery2.nl/announcements/rsgallery2… | x_refsource_CONFIRM |
| http://extensions.joomla.org/extensions/photos-a-… | x_refsource_CONFIRM |
| http://joomlacode.org/gf/project/rsgallery2/news/ | x_refsource_CONFIRM |
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},
{
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"value": "Vulnerabilidad de inyecci\u00f3n SQL en el componente RSGallery2 (com_rsgallery2) anterior a v2.3.0 para Joomla! v1.5.x, y anterior a v3.2.0 para Joomla! v2.5.x, permite a atacantes remotos ejecutar comandos SQL a trav\u00e9s de vectores no especificados."
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],
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}
}
}
}
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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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