GSD-2018-7701
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Multiple cross-site request forgery (CSRF) vulnerabilities in SecurEnvoy SecurMail before 9.2.501 allow remote attackers to hijack the authentication of arbitrary users for requests that (1) delete e-mail messages via a delete action in a request to secmail/getmessage.exe or (2) spoof arbitrary users and reply to their messages via a request to secserver/securectrl.exe.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-7701",
"description": "Multiple cross-site request forgery (CSRF) vulnerabilities in SecurEnvoy SecurMail before 9.2.501 allow remote attackers to hijack the authentication of arbitrary users for requests that (1) delete e-mail messages via a delete action in a request to secmail/getmessage.exe or (2) spoof arbitrary users and reply to their messages via a request to secserver/securectrl.exe.",
"id": "GSD-2018-7701",
"references": [
"https://packetstormsecurity.com/files/cve/CVE-2018-7701"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2018-7701",
"modified": "2023-12-13T01:22:32.763335Z",
"schema_version": "1.4.0"
}
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"name": "20180312 SEC Consult SA-20180312-0 :: Multiple Critical Vulnerabilities in SecurEnvoy SecurMail",
"refsource": "FULLDISC",
"url": "http://seclists.org/fulldisclosure/2018/Mar/29"
},
{
"name": "https://www.sec-consult.com/en/blog/advisories/multiple-critical-vulnerabilities-in-securenvoy-securmail/index.html",
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"url": "https://www.sec-consult.com/en/blog/advisories/multiple-critical-vulnerabilities-in-securenvoy-securmail/index.html"
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.8,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2018-04-06T13:30Z",
"publishedDate": "2018-03-15T01:29Z"
}
}
}
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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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