FKIE_CVE-2019-25742
Vulnerability from fkie_nvd - Published: 2026-06-04 14:16 - Updated: 2026-07-22 20:10
Severity
Summary
WordPress Theme Zoner Real Estate 4.1.1 contains a persistent cross-site scripting vulnerability that allows authenticated agents to inject malicious scripts through the Address input field when creating properties. Attackers can inject JavaScript payloads in the property creation form that execute when administrators view the property for approval, enabling cookie theft and session hijacking.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "Zoner Real Estate",
"vendor": "Fruitfulcode",
"versions": [
{
"status": "affected",
"version": "4.1.1"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "WordPress Theme Zoner Real Estate 4.1.1 contains a persistent cross-site scripting vulnerability that allows authenticated agents to inject malicious scripts through the Address input field when creating properties. Attackers can inject JavaScript payloads in the property creation form that execute when administrators view the property for approval, enabling cookie theft and session hijacking."
},
{
"lang": "es",
"value": "El tema de WordPress Zoner Real Estate 4.1.1 contiene una vulnerabilidad persistente de cross-site scripting que permite a los agentes autenticados inyectar scripts maliciosos a trav\u00e9s del campo de entrada Direcci\u00f3n al crear propiedades. Los atacantes pueden inyectar cargas \u00fatiles de JavaScript en el formulario de creaci\u00f3n de propiedades que se ejecutan cuando los administradores ven la propiedad para su aprobaci\u00f3n, lo que permite el robo de cookies y el secuestro de sesi\u00f3n."
}
],
"id": "CVE-2019-25742",
"lastModified": "2026-07-22T20:10:00.127",
"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": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.1,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "LOW",
"subIntegrityImpact": "LOW",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2019-25742",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-04T13:59:41.673392Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-04T14:16:33.107",
"references": [
{
"source": "disclosure@vulncheck.com",
"url": "https://fruitfulcode.com/"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://themeforest.net/item/zoner-real-estate-wordpress-theme/9099226"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.exploit-db.com/exploits/47436"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.vulncheck.com/advisories/wordpress-theme-zoner-real-estate-persistent-xss"
}
],
"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
]
}
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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.
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