FKIE_CVE-2011-0696
Vulnerability from fkie_nvd - Published: 2011-02-14 21:00 - Updated: 2026-06-16 23:27
Severity
Summary
Django 1.1.x before 1.1.4 and 1.2.x before 1.2.5 does not properly validate HTTP requests that contain an X-Requested-With header, which makes it easier for remote attackers to conduct cross-site request forgery (CSRF) attacks via forged AJAX requests that leverage a "combination of browser plugins and redirects," a related issue to CVE-2011-0447.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| djangoproject | django | 1.1 | |
| djangoproject | django | 1.1.0 | |
| djangoproject | django | 1.1.2 | |
| djangoproject | django | 1.1.3 | |
| djangoproject | django | 1.2 | |
| djangoproject | django | 1.2.1 | |
| djangoproject | django | 1.2.2 | |
| djangoproject | django | 1.2.3 | |
| djangoproject | django | 1.2.4 |
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"source": "secalert@redhat.com"
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"value": "Django 1.1.x before 1.1.4 and 1.2.x before 1.2.5 does not properly validate HTTP requests that contain an X-Requested-With header, which makes it easier for remote attackers to conduct cross-site request forgery (CSRF) attacks via forged AJAX requests that leverage a \"combination of browser plugins and redirects,\" a related issue to CVE-2011-0447."
},
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"lang": "es",
"value": "Django v1.1.x antes de v1.1.4 y v1.2.x antes de v1.2.5 no valida correctamente las solicitudes HTTP que contienen una cabecera X-Requested-With , que facilita a los atacantes remotos para llevar a cabo ataques de vulnerabilidad de falsificaci\u00f3n de petici\u00f3n en sitios cruzados (CSRF) , permite a atacantes remotos secuestrar la autenticaci\u00f3n de los administradores mediante peticiones AJAX manipuladas que aprovechan una \"combinaci\u00f3n de complementos del navegador y redirecciones, esta vulnerabilidad esta relacionada con CVE-2011-0447."
}
],
"id": "CVE-2011-0696",
"lastModified": "2026-06-16T23:27:53.900",
"metrics": {
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"baseSeverity": "MEDIUM",
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"authentication": "NONE",
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"baseScore": 6.8,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
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"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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"published": "2011-02-14T21:00:03.210",
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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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