WordPress Food Store Plugin Stored XSS via Service Time Parameter

The Food Store – Online Food Delivery & Pickup plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'service_time' parameter in all versions up to, and including, 1.5.5 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. Exploitation requires the site to have the 'Enable Checkout Service Fields' option turned off, which is a non-default configuration, while 'Enable Pickup/Delivery Service' remains enabled.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

The Food Store – Online Food Delivery & Pickup WordPress plugin contains a Stored Cross-Site Scripting (XSS) vulnerability in the 'service_time' parameter affecting all versions up to 1.5.5. This vulnerability stems from insufficient input sanitization and output escaping, allowing unauthenticated attackers to inject malicious JavaScript that persists in the database and executes whenever users access affected pages. With a CVSS score of 7.2, this poses a significant risk to WordPress sites using this plugin, particularly e-commerce and food delivery platforms. The vulnerability is particularly dangerous because it requires no authentication, meaning any visitor can exploit it, and the payload remains stored—affecting all subsequent visitors who view the compromised page. Sites with the 'Enable Checkout Service Fields' option disabled are specifically vulnerable to this attack vector.

Casky's 323 mapped security skills detect this attack pattern by correlating indicators across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance for Defense Evasion). Claude AI's extended reasoning identifies suspicious patterns in the 'service_time' parameter processing—specifically, unescaped user input flowing directly into HTML output without proper sanitization. Practitioners using Casky would see findings highlighting: parameter injection attempts in checkout forms, JavaScript payload signatures in service_time fields, DOM-based script execution patterns, and stored payload persistence in database queries. The platform's skill mapping would flag insufficient output encoding at display time and trace the attack chain from initial injection through storage to eventual execution, enabling security teams to prioritize remediation of input validation controls and implement content security policies to mitigate XSS attack patterns.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-116622.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-116622

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