GHSA-QFPP-P9G3-3GXP
Vulnerability from github – Published: 2026-06-04 21:31 – Updated: 2026-06-04 21:31
VLAI
Details
Cross Site Scripting (XSS) vulnerability in the "Task in Progress / Recent" page in Arket Globe Document Intelligence 5.0.0.559 due to improper sanitization of user input in text fields when creating a new document. Specifically, when an authenticated attacker submits data containing JavaScript code within these fields, the application fails to properly sanitize or escape the content. As a result, the injected script is executed when the page is rendered, allowing the attacker to execute arbitrary JavaScript in the context of other users' browsers who view the affected page.
Severity
6.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-65640"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-04T19:16:25Z",
"severity": "MODERATE"
},
"details": "Cross Site Scripting (XSS) vulnerability in the \"Task in Progress / Recent\" page in Arket Globe Document Intelligence 5.0.0.559 due to improper sanitization of user input in text fields when creating a new document. Specifically, when an authenticated attacker submits data containing JavaScript code within these fields, the application fails to properly sanitize or escape the content. As a result, the injected script is executed when the page is rendered, allowing the attacker to execute arbitrary JavaScript in the context of other users\u0027 browsers who view the affected page.",
"id": "GHSA-qfpp-p9g3-3gxp",
"modified": "2026-06-04T21:31:21Z",
"published": "2026-06-04T21:31:21Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-65640"
},
{
"type": "WEB",
"url": "https://github.com/vincenzo-emanuele/CVE-2025-65640"
},
{
"type": "WEB",
"url": "https://www.arket.it"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:N",
"type": "CVSS_V3"
}
]
}
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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.
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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