VAR-200505-1007
Vulnerability from variot - Updated: 2025-04-03 22:19Multiple cross-site scripting (XSS) vulnerabilities in PHP-Nuke 6.x through 7.6 allow remote attackers to inject arbitrary web script or HTML via the (1) username parameter in the Your_Account module, (2) avatarcategory parameter in the Your_Account module, or (3) lid parameter in the Downloads module. It is reported that the PHP-Nuke 'Your_Account' module is affected by a cross-site scripting vulnerability. This issue is due to a failure of the application to properly sanitize user-supplied URI input. This issue could permit a remote attacker to create a malicious URI link that includes hostile HTML and script code. If this link were to be followed, the hostile code may be rendered in the web browser of the victim user. This would occur in the security context of the affected web site and may allow for theft of cookie-based authentication credentials. This vulnerability is reported to affect PHP-Nuke version 7.6 and previous versions
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"db": "BID",
"id": "13007"
},
{
"db": "BID",
"id": "13010"
},
{
"db": "BID",
"id": "13011"
},
{
"db": "BID",
"id": "7570"
}
],
"trust": 1.2
},
"title": {
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/title#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
}
}
},
"data": "PHP-Nuke Your_Account Cross-site scripting vulnerability",
"sources": [
{
"db": "CNNVD",
"id": "CNNVD-200505-408"
}
],
"trust": 0.6
},
"type": {
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/type#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
}
}
},
"data": "Input Validation Error",
"sources": [
{
"db": "BID",
"id": "13007"
},
{
"db": "BID",
"id": "13010"
},
{
"db": "BID",
"id": "13011"
},
{
"db": "BID",
"id": "7570"
}
],
"trust": 1.2
}
}
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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.
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.
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