FKIE_CVE-2026-6404
Vulnerability from fkie_nvd - Published: 2026-05-20 02:16 - Updated: 2026-07-24 08:10
Severity
Summary
The Anomify AI – Anomaly Detection and Alerting plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'anomify_api_key' parameter in versions up to and including 0.3.6. This is due to insufficient input sanitization and missing output escaping: the plugin applies sanitize_text_field() to the Metric Data Key input before saving it via update_option(), but sanitize_text_field() strips HTML tags without encoding double-quote characters, and the value is then echoed directly into an HTML attribute context (value="...") without esc_attr(). This makes it possible for authenticated attackers with administrator-level access to inject arbitrary web scripts that execute whenever a user visits the plugin's settings page.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Anomify AI \u2013 Anomaly Detection and Alerting",
"vendor": "simonholliday",
"versions": [
{
"lessThanOrEqual": "0.3.6",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Anomify AI \u2013 Anomaly Detection and Alerting plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the \u0027anomify_api_key\u0027 parameter in versions up to and including 0.3.6. This is due to insufficient input sanitization and missing output escaping: the plugin applies sanitize_text_field() to the Metric Data Key input before saving it via update_option(), but sanitize_text_field() strips HTML tags without encoding double-quote characters, and the value is then echoed directly into an HTML attribute context (value=\"...\") without esc_attr(). This makes it possible for authenticated attackers with administrator-level access to inject arbitrary web scripts that execute whenever a user visits the plugin\u0027s settings page."
},
{
"lang": "es",
"value": "El plugin Anomify AI - Anomaly Detection and Alerting para WordPress es vulnerable a Stored Cross-Site Scripting a trav\u00e9s del par\u00e1metro \u0027anomify_api_key\u0027 en versiones hasta la 0.3.6 inclusive. Esto se debe a una sanitizaci\u00f3n de entrada insuficiente y a una falta de escape de salida: el plugin aplica sanitize_text_field() a la entrada de Metric Data Key antes de guardarla a trav\u00e9s de update_option(), pero sanitize_text_field() elimina las etiquetas HTML sin codificar los caracteres de comillas dobles, y el valor se imprime directamente en un contexto de atributo HTML (value=\"...\") sin esc_attr(). Esto hace posible que atacantes autenticados con acceso de nivel de administrador inyecten scripts web arbitrarios que se ejecutan cada vez que un usuario visita la p\u00e1gina de configuraci\u00f3n del plugin."
}
],
"id": "CVE-2026-6404",
"lastModified": "2026-07-24T08:10:00.150",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.3,
"impactScore": 2.7,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-6404",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-20T14:02:13.120405Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-05-20T02:16:38.357",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/anomify/tags/0.3.6/Anomify/Config.php#L152"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/anomify/tags/0.3.6/Anomify/Wp/Admin.php#L32"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/anomify/tags/0.3.6/Anomify/Wp/includes/admin_options.php#L43"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/anomify/trunk/Anomify/Config.php#L152"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/anomify/trunk/Anomify/Wp/Admin.php#L32"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/anomify/trunk/Anomify/Wp/includes/admin_options.php#L43"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/4036057c-0c43-4d9c-97db-4861d91a4daa?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "security@wordfence.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.
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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