FKIE_CVE-2012-2341
Vulnerability from fkie_nvd - Published: 2012-05-18 22:55 - Updated: 2026-06-16 23:41
Severity
Summary
Cross-site request forgery (CSRF) vulnerability in the Take Control module 6.x-2.x before 6.x-2.2 for Drupal allows remote attackers to hijack the authentication of unspecified users for Ajax requests that manipulate files.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| rahul_singla | take_control | 6.x-1.x | |
| rahul_singla | take_control | 6.x-2.0 | |
| rahul_singla | take_control | 6.x-2.x | |
| drupal | drupal | * |
{
"affected": [
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"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Cross-site request forgery (CSRF) vulnerability in the Take Control module 6.x-2.x before 6.x-2.2 for Drupal allows remote attackers to hijack the authentication of unspecified users for Ajax requests that manipulate files."
},
{
"lang": "es",
"value": "Vulnerabilidad de falsificaci\u00f3n de peticiones en sitios cruzados (CSRF) en el m\u00f3dulo Take Control v6.x-2.x antes de v6.x-2.2 para Drupal, permite a atacantes remotos secuestrar la autenticaci\u00f3n de usuarios no especificados en peticiones AJAX que manipulan ficheros."
}
],
"id": "CVE-2012-2341",
"lastModified": "2026-06-16T23:41:23.783",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
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"source": "nvd@nist.gov",
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"userInteractionRequired": true
}
]
},
"published": "2012-05-18T22:55:06.170",
"references": [
{
"source": "secalert@redhat.com",
"url": "http://drupal.org/node/1243604"
},
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"url": "http://drupal.org/node/1569512"
},
{
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"url": "http://secunia.com/advisories/49060"
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{
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"url": "http://www.securityfocus.com/bid/53452"
},
{
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/75504"
},
{
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"url": "http://drupal.org/node/1243604"
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{
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"url": "http://drupal.org/node/1569512"
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-352"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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