FKIE_CVE-2009-3651
Vulnerability from fkie_nvd - Published: 2009-10-09 14:30 - Updated: 2026-06-16 23:12
Severity
Summary
Cross-site scripting (XSS) vulnerability in the "Monitor browsers' feature in Browscap before 5.x-1.1 and 6.x-1.1, a module for Drupal, allows remote attackers to inject arbitrary web script or HTML via the User-Agent HTTP header.
References
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"lang": "es",
"value": "Una vulnerabilidad de ejecuci\u00f3n de secuencias de comandos en sitios cruzados (XSS) en la opci\u00f3n \"Monitor Browsers\" del m\u00f3dulo de Drupal \"Browscap\" antes de v5.x-1.1 y v6.x-1.1, permite a atacantes remotos inyectar HTML o scripts web a trav\u00e9s de la cabecera HTTP User-Agent."
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"lastModified": "2026-06-16T23:12:05.853",
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
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}
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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.
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