FKIE_CVE-2015-8095
Vulnerability from fkie_nvd - Published: 2015-11-09 16:59 - Updated: 2026-06-17 00:34
Severity
Summary
The recycle bin feature in the Monster Menus module 7.x-1.21 before 7.x-1.24 for Drupal does not properly remove nodes from view, which allows remote attackers to obtain sensitive information via an unspecified URL pattern.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://www.drupal.org/node/2608382 | Patch, Vendor Advisory | |
| cve@mitre.org | https://www.drupal.org/node/2608414 | Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.drupal.org/node/2608382 | Patch, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.drupal.org/node/2608414 | Patch |
Impacted products
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"versions": [
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}
],
"source": "cve@mitre.org"
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],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The recycle bin feature in the Monster Menus module 7.x-1.21 before 7.x-1.24 for Drupal does not properly remove nodes from view, which allows remote attackers to obtain sensitive information via an unspecified URL pattern."
},
{
"lang": "es",
"value": "La funcionalidad recycle bin en el m\u00f3dulo Monster Menus 7.x-1.21 en versiones anteriores a 7.x-1.24 para Drupal no elimina correctamente los nodos de la vista, lo que permite a atacantes remotos obtener informaci\u00f3n sensible a trav\u00e9s de un patr\u00f3n URL no especificado."
}
],
"id": "CVE-2015-8095",
"lastModified": "2026-06-17T00:34:02.183",
"metrics": {
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"baseSeverity": "MEDIUM",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"published": "2015-11-09T16:59:12.200",
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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.
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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