WordPress Plugin Stored DOM XSS via HTTP Header Injection

The Visitor Traffic Real Time Statistics plugin for WordPress is vulnerable to Stored DOM-Based Cross-Site Scripting via 'X-Real-IP' HTTP Header in all versions up to, and including, 8.16 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. This requires no authentication, no nonce, and no capability — the wp_ajax_nopriv_ahcfree_track_visitor endpoint accepts the forged X-Real-IP header from any unauthenticated HTTP request and stores the entity-encoded payload verbatim in the database.

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 Visitor Traffic Real Time Statistics WordPress plugin contains a critical stored DOM-based Cross-Site Scripting (XSS) vulnerability in versions up to 8.16. The flaw stems from insufficient sanitization of the 'X-Real-IP' HTTP header, which is processed and stored without proper output escaping. Because this vulnerability requires no authentication, no nonce verification, and no user capabilities, any unauthenticated attacker can inject malicious JavaScript directly into website pages. When legitimate users visit an affected page, the injected script executes in their browsers with the same privileges as the page, enabling account takeover, credential theft, malware distribution, and defacement. This poses significant risk to all WordPress sites running the vulnerable plugin and their visitors.

Casky's 754 security skills mapped to MITRE ATT&CK would detect the attack patterns underlying this CVE through techniques aligned with TA0001 (Reconnaissance) and TA0043 (Reconnaissance via public infrastructure scanning). Practitioners using Casky's Claude-powered analysis would identify suspicious HTTP header manipulation patterns, observe how unsanitized input flows from the X-Real-IP header into DOM elements without escaping, and flag the absence of Content Security Policy (CSP) headers that would mitigate execution. The platform would highlight the critical combination of no authentication requirements with persistent payload storage—key indicators of Stored XSS exploitation. Findings would surface the plugin's AJAX endpoint handling and demonstrate how the vulnerability chain enables both initial injection (Reconnaissance/Initial Access boundary) and subsequent script execution whenever users access the page, enabling adversary-in-the-browser attack scenarios.

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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-2026-97341.

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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