WordPress Plugin AJAX Nonce Bypass Enables Stored XSS

The WOLF WordPress plugin before 1.1.0 does not perform a nonce or capability check on one of its AJAX actions, allowing an unauthenticated attacker to trick a logged-in administrator into writing arbitrary content, including a malicious script, into a post via a cross-site request, resulting in stored Cross-Site Scripting.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched 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 WOLF WordPress plugin before version 1.1.0 contains a critical vulnerability where an AJAX action fails to validate nonce tokens or user capabilities, allowing unauthenticated attackers to craft malicious cross-site requests. When a logged-in administrator visits an attacker-controlled page, the compromised AJAX endpoint can be abused to inject arbitrary content—including malicious scripts—directly into WordPress posts. This stored XSS persists in the database and executes whenever any user views the affected post, making it a particularly dangerous persistence mechanism. Organizations running vulnerable versions of WOLF face risks ranging from website defacement to credential theft, malware distribution, and complete site compromise.

Casky's 322 matched skills map this vulnerability across MITRE ATT&CK's Initial Access (TA0001) and Persistence (TA0043) tactics, enabling detection of both the attack delivery and its aftermath. Practitioners using Casky with Claude's extended reasoning will identify CWE-79 (improper input validation) and CWE-352 (missing CSRF protection) as root causes, then observe attack signals including: suspicious cross-origin AJAX requests lacking valid nonce parameters, unexpected administrative post modifications originating from external referrers, and script injection patterns in post content. The platform's skill mapping helps security teams correlate these indicators—reconnaissance of admin endpoints, exploitation attempts via crafted HTTP requests, and persistence through stored payloads—into a coherent attack narrative, enabling faster response and remediation.

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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 →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-14234.

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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Casky has 322 skills that investigate the attack patterns behind CVE-2026-14234. Run one and get CVSS-scored findings in 3 minutes.

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