FKIE_CVE-2025-32360
Vulnerability from fkie_nvd - Published: 2025-04-05 21:15 - Updated: 2026-06-17 09:11
Severity
4.2 (Medium) - CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:N
8.1 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
8.1 (High) - CVSS:3.1/
Summary
In Zammad 6.4.x before 6.4.2, there is information exposure. Only agents should be able to see and work on shared article drafts. However, a logged in customer was able to see details about shared drafts for their customer tickets in the browser console, which may contain confidential information, and also to manipulate them via API.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://zammad.com/en/advisories/zaa-2025-03 | Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Zammad",
"vendor": "Zammad",
"versions": [
{
"lessThan": "6.4.2",
"status": "affected",
"version": "6.4",
"versionType": "custom"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:zammad:zammad:*:*:*:*:*:*:*:*",
"matchCriteriaId": "B3CB15F8-B4D0-450D-9D9A-9A710EE15BCB",
"versionEndExcluding": "6.4.2",
"versionStartIncluding": "6.4.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In Zammad 6.4.x before 6.4.2, there is information exposure. Only agents should be able to see and work on shared article drafts. However, a logged in customer was able to see details about shared drafts for their customer tickets in the browser console, which may contain confidential information, and also to manipulate them via API."
},
{
"lang": "es",
"value": "En Zammad 6.4.x anterior a la 6.4.2, existe exposici\u00f3n de informaci\u00f3n. Solo los agentes deber\u00edan poder ver y trabajar en borradores de art\u00edculos compartidos. Sin embargo, un cliente conectado pod\u00eda ver detalles sobre los borradores compartidos de sus tickets en la consola del navegador, que pueden contener informaci\u00f3n confidencial, y tambi\u00e9n manipularlos mediante la API."
}
],
"id": "CVE-2025-32360",
"lastModified": "2026-06-17T09:11:52.550",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.6,
"impactScore": 2.5,
"source": "cve@mitre.org",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.2,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-32360",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-07T16:12:01.688011Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-04-05T21:15:40.820",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Vendor Advisory"
],
"url": "https://zammad.com/en/advisories/zaa-2025-03"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-402"
}
],
"source": "cve@mitre.org",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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.
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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.
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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.