FKIE_CVE-2016-2040
Vulnerability from fkie_nvd - Published: 2016-02-20 01:59 - Updated: 2026-06-17 00:43
Severity
Summary
Multiple cross-site scripting (XSS) vulnerabilities in phpMyAdmin 4.0.x before 4.0.10.13, 4.4.x before 4.4.15.3, and 4.5.x before 4.5.4 allow remote authenticated users to inject arbitrary web script or HTML via a (1) table name, (2) SET value, (3) search query, or (4) hostname in a Location header.
References
Impacted products
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Multiple cross-site scripting (XSS) vulnerabilities in phpMyAdmin 4.0.x before 4.0.10.13, 4.4.x before 4.4.15.3, and 4.5.x before 4.5.4 allow remote authenticated users to inject arbitrary web script or HTML via a (1) table name, (2) SET value, (3) search query, or (4) hostname in a Location header."
},
{
"lang": "es",
"value": "M\u00faltiples vulnerabilidades de XSS en phpMyAdmin 4.0.x en versiones anteriores a 4.0.10.13, 4.4.x en versiones anteriores a 4.4.15.3 y 4.5.x en versiones anteriores a 4.5.4 permiten a usuarios remotos autenticados inyectar secuencias de comandos web o HTML arbitrarios a trav\u00e9s de (1) un nombre de tabla, (2) un valor SET, (3) una consulta de b\u00fasqueda o (4) un nombre de host en una cabecera Location."
}
],
"id": "CVE-2016-2040",
"lastModified": "2026-06-17T00:43:18.610",
"metrics": {
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"baseSeverity": "LOW",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
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"attackVector": "NETWORK",
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"published": "2016-02-20T01:59:03.297",
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{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
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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
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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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