FKIE_CVE-2024-55199
Vulnerability from fkie_nvd - Published: 2025-03-10 18:15 - Updated: 2026-06-17 08:11
Severity
Summary
A Stored Cross Site Scripting (XSS) vulnerability in Celk Sistemas Celk Saude v.3.1.252.1 allows a remote attacker to store JavaScript code inside a PDF file through the file upload feature. When the file is rendered, the injected code is executed on the user's browser.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| celk | celk_saude | 3.1.252.1 |
{
"affected": [
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"versions": [
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"source": "cve@mitre.org"
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],
"configurations": [
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"nodes": [
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"cpeMatch": [
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"criteria": "cpe:2.3:a:celk:celk_saude:3.1.252.1:*:*:*:*:*:*:*",
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "A Stored Cross Site Scripting (XSS) vulnerability in Celk Sistemas Celk Saude v.3.1.252.1 allows a remote attacker to store JavaScript code inside a PDF file through the file upload feature. When the file is rendered, the injected code is executed on the user\u0027s browser."
},
{
"lang": "es",
"value": "Una vulnerabilidad de tipo Cross Site Scripting (XSS) almacenado en Celk Sistemas Celk Saude v.3.1.252.1 permite a un atacante remoto almacenar c\u00f3digo JavaScript dentro de un archivo PDF a trav\u00e9s de la funci\u00f3n de carga de archivos. Cuando se procesa el archivo, el c\u00f3digo inyectado se ejecuta en el navegador del usuario."
}
],
"id": "CVE-2024-55199",
"lastModified": "2026-06-17T08:11:01.137",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 2.7,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
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"ssvcV203": [
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"role": "CISA Coordinator",
"timestamp": "2025-03-10T17:59:51.958802Z",
"version": "2.0.3"
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},
"published": "2025-03-10T18:15:29.757",
"references": [
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"source": "cve@mitre.org",
"tags": [
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"url": "https://github.com/gabriel-bri/vulnerability-research/tree/main/CVE-2024-55199"
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{
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"tags": [
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"url": "https://portswigger.net/web-security/cross-site-scripting/stored"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
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}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.