WordPress Autoptimize Plugin Stored XSS via REQUEST_URI

The Autoptimize plugin for WordPress is vulnerable to Stored Cross-Site Scripting via REQUEST_URI Path in all versions up to, and including, 3.1.15.1 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 Critical CSS feature to be active with a valid API key configured, as this is the precondition for unauthenticated frontend requests to trigger queue entries via ao_ccss_enqueue().

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

CVE-2026-14995 is a stored cross-site scripting (XSS) vulnerability in the Autoptimize WordPress plugin affecting all versions through 3.1.15.1. The vulnerability exists in how the plugin handles the REQUEST_URI path when the Critical CSS feature is enabled with a valid API key configured. Because the plugin fails to properly sanitize and escape user-supplied input, unauthenticated attackers can inject malicious scripts that persist in the application's database. When any user subsequently accesses an injected page, the malicious script executes in their browser with their privileges, potentially leading to session hijacking, credential theft, malware distribution, or defacement. This vulnerability is particularly dangerous because it requires no authentication and affects a widely-used WordPress optimization plugin, making millions of websites potentially vulnerable if they have Critical CSS enabled.

Casky's 323 matching security skills leverage Claude AI's extended reasoning to detect the attack patterns associated with this vulnerability across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky would identify detection opportunities through input validation gaps in REQUEST_URI parameter handling and output encoding failures in rendered page content. The platform's skills help security teams recognize suspicious patterns such as unusual characters in URL paths, script tags appearing in unexpected locations, and validation bypass attempts targeting the Critical CSS configuration. By mapping these indicators to the underlying CWE-79 (Improper Neutralization of Input During Web Page Generation) root cause, Casky enables practitioners to not only identify exploitation attempts in logs and WAF data, but also to understand the precise code-level weaknesses that attackers exploit and implement targeted remediation strategies before attacks succeed.

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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-2026-14995.

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-2026-14995

Casky has 323 skills that investigate the attack patterns behind CVE-2026-14995. Run one and get CVSS-scored findings in 3 minutes.

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