FKIE_CVE-2026-0808
Vulnerability from fkie_nvd - Published: 2026-01-17 07:16 - Updated: 2026-06-17 10:11
Severity
Summary
The Spin Wheel plugin for WordPress is vulnerable to client-side prize manipulation in all versions up to, and including, 2.1.0. This is due to the plugin trusting client-supplied prize selection data without server-side validation or randomization. This makes it possible for unauthenticated attackers to manipulate which prize they win by modifying the 'prize_index' parameter sent to the server, allowing them to always select the most valuable prizes.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Spin Wheel \u2013 Interactive spinning wheel that offers coupons",
"vendor": "bdthemes",
"versions": [
{
"lessThanOrEqual": "2.1.0",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Spin Wheel plugin for WordPress is vulnerable to client-side prize manipulation in all versions up to, and including, 2.1.0. This is due to the plugin trusting client-supplied prize selection data without server-side validation or randomization. This makes it possible for unauthenticated attackers to manipulate which prize they win by modifying the \u0027prize_index\u0027 parameter sent to the server, allowing them to always select the most valuable prizes."
},
{
"lang": "es",
"value": "El plugin Spin Wheel para WordPress es vulnerable a la manipulaci\u00f3n de premios del lado del cliente en todas las versiones hasta la 2.1.0, inclusive. Esto se debe a que el plugin conf\u00eda en los datos de selecci\u00f3n de premios proporcionados por el cliente sin validaci\u00f3n o aleatorizaci\u00f3n del lado del servidor. Esto hace posible que atacantes no autenticados manipulen qu\u00e9 premio ganan modificando el par\u00e1metro \u0027prize_index\u0027 enviado al servidor, permiti\u00e9ndoles seleccionar siempre los premios m\u00e1s valiosos."
}
],
"id": "CVE-2026-0808",
"lastModified": "2026-06-17T10:11:25.070",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-0808",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-01-20T18:27:06.693798Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-01-17T07:16:02.123",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/spin-wheel/tags/2.0.2/includes/class-swp-ajax.php#L73"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/spin-wheel/trunk/includes/class-swp-ajax.php#L73"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=3437726%40spin-wheel\u0026new=3437726%40spin-wheel\u0026sfp_email=\u0026sfph_mail="
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/c023b91e-f633-41a6-b2d7-bcb3f1d026b7?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-602"
}
],
"source": "security@wordfence.com",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
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.
Loading…
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.
Loading…