FKIE_CVE-2007-0652
Vulnerability from fkie_nvd - Published: 2007-02-15 23:28 - Updated: 2026-06-16 22:36
Severity
Summary
Cross-site request forgery (CSRF) vulnerability in MailEnable Professional before 2.37 allows remote attackers to modify arbitrary configurations and perform unauthorized actions as arbitrary users via a link or IMG tag.
References
Impacted products
{
"affected": [
{
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"vendor": "n/a",
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"version": "n/a"
}
]
}
],
"source": "PSIRT-CNA@flexerasoftware.com"
}
],
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"negate": false,
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}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Cross-site request forgery (CSRF) vulnerability in MailEnable Professional before 2.37 allows remote attackers to modify arbitrary configurations and perform unauthorized actions as arbitrary users via a link or IMG tag."
},
{
"lang": "es",
"value": "Vulnerabilidad de falsificaci\u00f3n de petici\u00f3n en sitios cruzados (CSRF) en MailEnable Professional versiones anteriores a 2.37 permite a atacantes remotos modificar configuraciones de su elecci\u00f3n y realizar acciones no autorizadas como usuarios de su elecci\u00f3n mediante una etiqueta link \u00f3 IMG.\r\n"
}
],
"id": "CVE-2007-0652",
"lastModified": "2026-06-16T22:36:00.330",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "HIGH",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:H/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 4.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": true,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
]
},
"published": "2007-02-15T23:28:00.000",
"references": [
{
"source": "PSIRT-CNA@flexerasoftware.com",
"url": "http://osvdb.org/33191"
},
{
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"tags": [
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],
"url": "http://secunia.com/advisories/23998"
},
{
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"tags": [
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},
{
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"url": "http://securityreason.com/securityalert/2258"
},
{
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"url": "http://www.securityfocus.com/archive/1/460063/100/0/threaded"
},
{
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"url": "http://www.securityfocus.com/bid/22554"
},
{
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"url": "http://www.vupen.com/english/advisories/2007/0595"
},
{
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"url": "http://osvdb.org/33191"
},
{
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},
{
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},
{
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{
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},
{
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],
"sourceIdentifier": "PSIRT-CNA@flexerasoftware.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"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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