FKIE_CVE-2022-27926
Vulnerability from fkie_nvd - Published: 2022-04-21 00:15 - Updated: 2026-06-17 04:37
Severity
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
6.1 (Medium) - CVSS:3.1/
Summary
A reflected cross-site scripting (XSS) vulnerability in the /public/launchNewWindow.jsp component of Zimbra Collaboration (aka ZCS) 9.0 allows unauthenticated attackers to execute arbitrary web script or HTML via request parameters.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://wiki.zimbra.com/wiki/Security_Center | Vendor Advisory | |
| cve@mitre.org | https://wiki.zimbra.com/wiki/Zimbra_Releases/9.0.0/P24 | Release Notes, Vendor Advisory | |
| cve@mitre.org | https://wiki.zimbra.com/wiki/Zimbra_Security_Advisories | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://wiki.zimbra.com/wiki/Security_Center | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://wiki.zimbra.com/wiki/Zimbra_Releases/9.0.0/P24 | Release Notes, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://wiki.zimbra.com/wiki/Zimbra_Security_Advisories | Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2022-27926 | US Government Resource |
Impacted products
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"versions": [
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"source": "cve@mitre.org"
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"cisaActionDue": "2023-04-24",
"cisaExploitAdd": "2023-04-03",
"cisaRequiredAction": "Apply updates per vendor instructions.",
"cisaVulnerabilityName": "Synacor Zimbra Collaboration Suite (ZCS) Cross-Site Scripting (XSS) Vulnerability",
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"cveTags": [],
"descriptions": [
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"value": "A reflected cross-site scripting (XSS) vulnerability in the /public/launchNewWindow.jsp component of Zimbra Collaboration (aka ZCS) 9.0 allows unauthenticated attackers to execute arbitrary web script or HTML via request parameters."
},
{
"lang": "es",
"value": "Una vulnerabilidad de tipo cross-site scripting (XSS) reflejado en el componente /public/launchNewWindow.jsp de Zimbra Collaboration (tambi\u00e9n se conoce como ZCS) versi\u00f3n 9.0, permite a atacantes no autenticados ejecutar un script web o HTML arbitrario por medio de par\u00e1metros de petici\u00f3n"
}
],
"id": "CVE-2022-27926",
"lastModified": "2026-06-17T04:37:45.020",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 4.3,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
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"timestamp": "2025-01-29T16:15:58.336126Z",
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"published": "2022-04-21T00:15:08.450",
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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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