Stored DOM-Based XSS in WooCommerce Photo Reviews Plugin

The Photo Reviews for WooCommerce plugin for WordPress is vulnerable to Stored DOM-Based Cross-Site Scripting via the 'wcpr_image_upload_id' parameter in all versions up to, and including, 1.2.30 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. The publicly-emitted `wcpr_image_upload` nonce printed on every product review form is the only gate, and no capability, authentication, or attachment ownership check is performed, allowing the payload to be stored in comment meta — which is not subject to `wp_kses` — by any unauthenticated visitor; the XSS fires once the review is visible on the frontend.

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 Photo Reviews for WooCommerce plugin contains a stored DOM-based cross-site scripting (XSS) vulnerability affecting all versions up to 1.2.30. Attackers can inject malicious JavaScript through the 'wcpr_image_upload_id' parameter without authentication, and the payload persists in the database. When legitimate users visit product review pages containing the injected script, the malicious code executes in their browsers with their privileges. This vulnerability impacts any WordPress site using this plugin, particularly e-commerce platforms relying on user-generated reviews, creating risk for customer data theft, session hijacking, and supply chain attacks through compromised review content.

Casky's 323 mapped skills leverage Claude AI's extended reasoning to detect attack patterns associated with TA0001 (Initial Access) and TA0043 (Reconnaissance) techniques underlying this vulnerability. Practitioners using Casky would identify detection signals including: insufficient input sanitization on user-controllable parameters, missing output encoding on review display functions, and improper nonce validation allowing unauthenticated payload submission. The platform's skill mapping would surface code analysis patterns detecting DOM manipulation without sanitization, parameter injection points in AJAX handlers, and stored payload persistence mechanisms. Security teams would see findings highlighting the publicly-emitted nonce weakness enabling attackers to craft malicious requests, combined with execution context analysis showing where injected scripts trigger during page rendering—enabling precise remediation of both the root cause and detection rules for active exploitation attempts.

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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-2026-100161.

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-2026-100161

Casky has 323 skills that investigate the attack patterns behind CVE-2026-100161. Run one and get CVSS-scored findings in 3 minutes.

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