GSD-2017-12323
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Multiple vulnerabilities in the web interface of the Cisco Registered Envelope Service (a cloud-based service) could allow an unauthenticated, remote attacker to conduct a cross-site scripting (XSS) attack or redirect a user of the affected service to an undesired web page. The vulnerabilities are due to insufficient validation of user-supplied input by the web-based management interface of the affected service. An attacker could exploit these vulnerabilities by persuading a user to click a malicious link or by sending an HTTP request that could cause the affected service to redirect the request to a specified malicious URL. A successful exploit could allow the attacker to execute arbitrary script code in the context of the web interface of the affected system or allow the attacker to access sensitive browser-based information on the affected system. These types of exploits could also be used in phishing attacks that send users to malicious websites without their knowledge. Cisco Bug IDs: CSCve77195, CSCve90978, CSCvf42310, CSCvf42703, CSCvf42723, CSCvf46169, CSCvf49999.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-12323",
"description": "Multiple vulnerabilities in the web interface of the Cisco Registered Envelope Service (a cloud-based service) could allow an unauthenticated, remote attacker to conduct a cross-site scripting (XSS) attack or redirect a user of the affected service to an undesired web page. The vulnerabilities are due to insufficient validation of user-supplied input by the web-based management interface of the affected service. An attacker could exploit these vulnerabilities by persuading a user to click a malicious link or by sending an HTTP request that could cause the affected service to redirect the request to a specified malicious URL. A successful exploit could allow the attacker to execute arbitrary script code in the context of the web interface of the affected system or allow the attacker to access sensitive browser-based information on the affected system. These types of exploits could also be used in phishing attacks that send users to malicious websites without their knowledge. Cisco Bug IDs: CSCve77195, CSCve90978, CSCvf42310, CSCvf42703, CSCvf42723, CSCvf46169, CSCvf49999.",
"id": "GSD-2017-12323"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "Multiple vulnerabilities in the web interface of the Cisco Registered Envelope Service (a cloud-based service) could allow an unauthenticated, remote attacker to conduct a cross-site scripting (XSS) attack or redirect a user of the affected service to an undesired web page. The vulnerabilities are due to insufficient validation of user-supplied input by the web-based management interface of the affected service. An attacker could exploit these vulnerabilities by persuading a user to click a malicious link or by sending an HTTP request that could cause the affected service to redirect the request to a specified malicious URL. A successful exploit could allow the attacker to execute arbitrary script code in the context of the web interface of the affected system or allow the attacker to access sensitive browser-based information on the affected system. These types of exploits could also be used in phishing attacks that send users to malicious websites without their knowledge. Cisco Bug IDs: CSCve77195, CSCve90978, CSCvf42310, CSCvf42703, CSCvf42723, CSCvf46169, CSCvf49999.",
"id": "GSD-2017-12323",
"modified": "2023-12-13T01:21:04.046609Z",
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"baseScore": 4.3,
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"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
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"severity": "MEDIUM",
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"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
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"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.0"
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"exploitabilityScore": 2.8,
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},
"lastModifiedDate": "2019-10-09T23:22Z",
"publishedDate": "2017-11-16T07:29Z"
}
}
}
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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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