WordPress Plugin Stored XSS via Unvalidated Comment Content

The DoFollow Case by Case plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Comment Content in all versions up to, and including, 3.6.0 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. Comment moderation delays but does not prevent exploitation — once an administrator approves the visually innocuous comment, the stored payload executes in the browser of every subsequent visitor to the affected post.

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 DoFollow Case by Case WordPress plugin contains a stored cross-site scripting (XSS) vulnerability in comment handling that allows unauthenticated attackers to inject malicious scripts into website pages. With a CVSS score of 7.2, this vulnerability is particularly dangerous because the injected payload persists in the database and executes for all users who view the compromised page—including administrators and visitors. While comment moderation exists as a control, it only delays exploitation; once an administrator approves a visually benign comment containing encoded or obfuscated malicious code, the attack activates for all subsequent page visitors. This affects any WordPress site running the plugin up to version 3.6.0, making it a widespread risk for small business and enterprise websites that rely on community engagement through comments.

Casky's 323 matched skills detect the attack patterns associated with this vulnerability by analyzing both the injection vectors and post-exploitation behaviors mapped to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Using Claude AI with extended reasoning, practitioners would observe detections across input validation gaps in comment processing, insufficient output encoding in rendering pipelines, and DOM manipulation patterns characteristic of stored XSS. The platform identifies suspicious comment payloads containing script tags, event handlers, or encoding bypass techniques; correlates approval workflows that normalize attacker-controlled content; and tracks behavioral indicators like unexpected JavaScript execution in page contexts. Practitioners reviewing findings would see specific CWE-79 patterns flagged at the code level—distinguishing between what appears innocuous in plain text versus what executes as malicious scripts—enabling rapid identification and remediation before attackers exploit the approval mechanism.

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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-2026-95817.

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

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