FKIE_CVE-2010-3834
Vulnerability from fkie_nvd - Published: 2011-01-14 19:02 - Updated: 2026-06-16 23:23
Severity
Summary
Unspecified vulnerability in MySQL 5.0 before 5.0.92, 5.1 before 5.1.51, and 5.5 before 5.5.6 allows remote authenticated users to cause a denial of service (server crash) via vectors related to "materializing a derived table that required a temporary table for grouping" and "user variable assignments."
References
Impacted products
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"source": "cve@mitre.org"
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],
"negate": false,
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}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Unspecified vulnerability in MySQL 5.0 before 5.0.92, 5.1 before 5.1.51, and 5.5 before 5.5.6 allows remote authenticated users to cause a denial of service (server crash) via vectors related to \"materializing a derived table that required a temporary table for grouping\" and \"user variable assignments.\""
},
{
"lang": "es",
"value": "Vulnerabilidad no especificada en MySQL v5.0 antes de v5.0.92, v5.1 antes de v5.1.51, y v5.5 antes de v5.5.6 permite a usuarios remotos autenticados causar una denegaci\u00f3n de servicio (por ca\u00edda del servidor) a trav\u00e9s de vectores relacionados con la materializaci\u00f3n de una tabla derivada que requiere una tabla temporal para la agrupaci\u00f3n y tambi\u00e9n relacionados con las asignaciones de variables de usuario."
}
],
"id": "CVE-2010-3834",
"lastModified": "2026-06-16T23:23:37.923",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2011-01-14T19:02:27.983",
"references": [
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"url": "http://bugs.mysql.com/bug.php?id=55568"
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"sourceIdentifier": "cve@mitre.org",
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{
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"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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