FKIE_CVE-2011-0435
Vulnerability from fkie_nvd - Published: 2011-03-07 21:00 - Updated: 2026-06-16 23:27
Severity
Summary
Domain Technologie Control (DTC) before 0.32.9 does not require authentication for (1) admin/bw_per_month.php and (2) client/bw_per_month.php, which allows remote attackers to obtain potentially sensitive bandwidth information via a direct request.
References
Impacted products
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Domain Technologie Control (DTC) before 0.32.9 does not require authentication for (1) admin/bw_per_month.php and (2) client/bw_per_month.php, which allows remote attackers to obtain potentially sensitive bandwidth information via a direct request."
},
{
"lang": "es",
"value": "Domain Technologie Control (DTC) anteriores a v0.32.9 no requiere autenticaci\u00f3n para (1) admin/bw_per_month.php y (2) client/bw_per_month.php, lo que permite a atacantes remotos obtener informaci\u00f3n sobre el ancho de banda potencialmente sensible a trav\u00e9s de una petici\u00f3n directa.\r\n"
}
],
"id": "CVE-2011-0435",
"lastModified": "2026-06-16T23:27:22.673",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"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"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2011-03-07T21:00:01.673",
"references": [
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"source": "cve@mitre.org",
"url": "http://git.gplhost.com/gitweb/?p=dtc.git%3Ba=commit%3Bh=89da9c519b04cda1b23e6290d2b0a6cea1bae31e"
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"tags": [
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-287"
}
],
"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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