FKIE_CVE-2015-3438
Vulnerability from fkie_nvd - Published: 2015-08-05 01:59 - Updated: 2026-06-17 00:25
Severity
Summary
Multiple cross-site scripting (XSS) vulnerabilities in WordPress before 4.1.2, when MySQL is used without strict mode, allow remote attackers to inject arbitrary web script or HTML via a (1) four-byte UTF-8 character or (2) invalid character that reaches the database layer, as demonstrated by a crafted character in a comment.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| wordpress | wordpress | * | |
| debian | debian_linux | 7.0 | |
| debian | debian_linux | 8.0 |
{
"affected": [
{
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"vendor": "n/a",
"versions": [
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],
"source": "security@debian.org"
}
],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple cross-site scripting (XSS) vulnerabilities in WordPress before 4.1.2, when MySQL is used without strict mode, allow remote attackers to inject arbitrary web script or HTML via a (1) four-byte UTF-8 character or (2) invalid character that reaches the database layer, as demonstrated by a crafted character in a comment."
},
{
"lang": "es",
"value": "M\u00faltiples vulnerabilidades de XSS en WordPress en versiones anteriores a 4.1.2 cuando se utiliza MySQL sin modo estricto, permite a atacantes remotos inyectar secuencias de comandos web o HTML arbitrarios a trav\u00e9s de un (1) car\u00e1cter UTF-8 de cuatro bytes o (2) car\u00e1cter no v\u00e1lido que alcanza la capa de la base de datos, seg\u00fan lo demostrado mediante un car\u00e1cter manipulado en un comentario."
}
],
"id": "CVE-2015-3438",
"lastModified": "2026-06-17T00:25:55.747",
"metrics": {
"cvssMetricV2": [
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"baseSeverity": "MEDIUM",
"cvssData": {
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"accessVector": "NETWORK",
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"integrityImpact": "PARTIAL",
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"exploitabilityScore": 8.6,
"impactScore": 2.9,
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"source": "nvd@nist.gov",
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"published": "2015-08-05T01:59:00.090",
"references": [
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"url": "https://wpvulndb.com/vulnerabilities/7929"
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"sourceIdentifier": "security@debian.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-79"
}
],
"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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