FKIE_CVE-2006-5204
Vulnerability from fkie_nvd - Published: 2006-10-10 04:06 - Updated: 2026-06-16 22:30
Severity
Summary
Cross-site scripting (XSS) vulnerability in action_admin/member.php in Invision Power Board (IPB) 2.1.7 and earlier allows remote authenticated users to inject arbitrary web script or HTML via a reference to a script in the avatar setting, which can be leveraged for a cross-site request forgery (CSRF) attack involving forced SQL execution by an admin.
References
Impacted products
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Cross-site scripting (XSS) vulnerability in action_admin/member.php in Invision Power Board (IPB) 2.1.7 and earlier allows remote authenticated users to inject arbitrary web script or HTML via a reference to a script in the avatar setting, which can be leveraged for a cross-site request forgery (CSRF) attack involving forced SQL execution by an admin."
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"value": "Vulnerabilidad de secuencias de comandos en sitios cruzados (XSS) en action_admin/member.php en Invision Power Board (IPB) 2.1.7 y anteriores permite a un usuario remoto validado inyectar secuencias de comandos web o HTML a trav\u00e9s de una referancia a la secuencia de comandos en el ajuste de avatar, lo cual puede ser apalancado para un ataque de falsificaci\u00f3n de petici\u00f3n en sitios cruzados (CSRF) que afecta a un ejecuci\u00f3n forzada de SQL por un administrador.\r\n"
}
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"evaluatorSolution": "An update for that addressed this vulnerability is available on the Invision Power Services web site.\r\nThe following requirements must be met for this attack to take place:\r\n- The database table prefix must be known\r\n- The admin must have access to the SQL Toolbox (any \"root admin\")\r\n- The admin must have images and referers turned on in their browser, and their browser must follow Location headers (default behaviour for most browsers)\r\n- The admin must view a malicious script as an image in their browser",
"id": "CVE-2006-5204",
"lastModified": "2026-06-16T22:30:44.650",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "HIGH",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:H/Au:S/C:N/I:P/A:N",
"version": "2.0"
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"published": "2006-10-10T04:06:00.000",
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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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