VAR-200505-1004
Vulnerability from variot - Updated: 2025-04-03 22:19modules.php in PHP-Nuke 6.x to 7.6 allows remote attackers to obtain sensitive information via a direct request to (1) my_headlines, (2) userinfo, or (3) search, which reveals the path in a PHP error message. 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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