FKIE_CVE-2010-2158
Vulnerability from fkie_nvd - Published: 2010-06-07 17:12 - Updated: 2026-06-16 23:20
Severity
Summary
Multiple cross-site scripting (XSS) vulnerabilities in the Storm module 5.x and 6.x before 6.x-1.33 for Drupal allow remote authenticated users, with certain module privileges, to inject arbitrary web script or HTML via the (1) fullname, (2) phone, or (3) im parameter in a stormperson action to index.php. NOTE: the provenance of this information is unknown; the details are obtained solely from third party information.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | http://drupal.org/node/803770 | Patch, Vendor Advisory | |
| cve@mitre.org | http://secunia.com/advisories/39732 | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://drupal.org/node/803770 | Patch, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://secunia.com/advisories/39732 | Vendor Advisory |
Impacted products
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"lang": "en",
"value": "Multiple cross-site scripting (XSS) vulnerabilities in the Storm module 5.x and 6.x before 6.x-1.33 for Drupal allow remote authenticated users, with certain module privileges, to inject arbitrary web script or HTML via the (1) fullname, (2) phone, or (3) im parameter in a stormperson action to index.php. NOTE: the provenance of this information is unknown; the details are obtained solely from third party information."
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"value": "Multiples vulnerabilidades de ejecuci\u00f3n de secuencias de comandos en sitios cruzados (XSS) en el m\u00f3dulo Storm v5.x y v6.x anterior a v6.x-1.33 para Drupal permite a usuarios autenticados remotamente, con ciertos privilegios del m\u00f3dulo, inyectar c\u00f3digo web o HTML a trav\u00e9s de los par\u00e1metros (1) fullname, (2) phone, o (3) im en una acci\u00f3n \"stormperson\" en index.php. NOTA: el origen de esta informaci\u00f3n es desconocido. Los detalles han sido obtenidos a partir de terceros."
}
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"id": "CVE-2010-2158",
"lastModified": "2026-06-16T23:20:05.613",
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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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