VAR-200505-1003
Vulnerability from variot - Updated: 2025-04-03 22:19Multiple cross-site scripting (XSS) vulnerabilities in PHP-Nuke 6.x to 7.6 allow remote attackers to inject arbitrary web script or HTML via the (1) min parameter to the Search module, (2) the categories parameter to the FAQ module, or (3) the ltr parameter to the Encyclopedia module. NOTE: the bid parameter issue in banners.php is already an item in CVE-2005-1000. PHPNuke is reported prone to multiple cross-site scripting vulnerabilities affecting various modules. The affected modules include 'Search', 'FAQ', and 'Encyclopedia'. The 'banners.php' script is also affected. An attacker can exploit these issues by creating a malicious link containing HTML and script code and send this link to a vulnerable user. This can allow for theft of cookie-based authentication credentials and other attacks. PHPNuke 7.6 and prior versions are reportedly affected by these issues
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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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