GHSA-3MWW-4M35-5849
Vulnerability from github – Published: 2026-09-11 06:31 – Updated: 2026-09-11 06:31
VLAI
Details
The HUSKY – Products Filter Professional for WooCommerce plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via SEO-friendly permalink filter URL segments in versions up to, and including, 1.4.3. This is due to insufficient input sanitization and output escaping in the wp_load_js() function, which reads filter values from the URL path via the url_request extension's parse_url_query() and embeds them into an inline JavaScript string using json_encode() without escaping single quotes. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that execute if they can successfully trick a user into performing an action such as clicking on a specially crafted link.
Severity
6.1 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-18562"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-11T04:17:24Z",
"severity": "MODERATE"
},
"details": "The HUSKY \u2013 Products Filter Professional for WooCommerce plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via SEO-friendly permalink filter URL segments in versions up to, and including, 1.4.3. This is due to insufficient input sanitization and output escaping in the wp_load_js() function, which reads filter values from the URL path via the url_request extension\u0027s parse_url_query() and embeds them into an inline JavaScript string using json_encode() without escaping single quotes. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that execute if they can successfully trick a user into performing an action such as clicking on a specially crafted link.",
"id": "GHSA-3mww-4m35-5849",
"modified": "2026-09-11T06:31:12Z",
"published": "2026-09-11T06:31:12Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-18562"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/woocommerce-products-filter/tags/1.4.1/ext/url_request/classes/url_parser.php#L462"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/woocommerce-products-filter/tags/1.4.1/ext/url_request/classes/url_parser.php#L478"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/woocommerce-products-filter/tags/1.4.1/ext/url_request/classes/url_parser.php#L492"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/woocommerce-products-filter/tags/1.4.1/index.php#L1116"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026new=3640571%40woocommerce-products-filter%2Ftrunk\u0026old=3637824%40woocommerce-products-filter%2Ftrunk\u0026sfp_email=\u0026sfph_mail="
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/dca6bd12-5adf-48fa-b24f-198f13250080?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
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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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