FKIE_CVE-2024-35504
Vulnerability from fkie_nvd - Published: 2024-05-30 15:15 - Updated: 2026-06-17 07:34
Severity
Summary
A cross-site scripting (XSS) vulnerability in the login page of FineSoft v8.0 allows attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the URL:errorname parameter after a failed login attempt.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/dabaizhizhu/123/issues/1 | Exploit, Issue Tracking | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/dabaizhizhu/123/issues/1 | Exploit, Issue Tracking |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| finesoft_project | finesoft | 8.0 |
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"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"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:finesoft_project:finesoft:8.0:*:*:*:*:*:*:*",
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"cveTags": [],
"descriptions": [
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},
{
"lang": "es",
"value": "Una vulnerabilidad de Cross-site Scripting (XSS) en la p\u00e1gina de inicio de sesi\u00f3n de FineSoft v8.0 permite a los atacantes ejecutar scripts web o HTML arbitrarios a trav\u00e9s de un payload manipulado inyectado en el par\u00e1metro URL:errorname despu\u00e9s de un intento fallido de inicio de sesi\u00f3n."
}
],
"id": "CVE-2024-35504",
"lastModified": "2026-06-17T07:34:57.240",
"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"
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"impactScore": 2.7,
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"role": "CISA Coordinator",
"timestamp": "2024-06-03T15:14:32.143871Z",
"version": "2.0.3"
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"published": "2024-05-30T15:15:48.830",
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"vulnStatus": "Analyzed",
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]
}
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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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