Unauthenticated XSS in LearnPress Learning Management System

Unauthenticated Cross Site Scripting (XSS) in LearnPress <= 4.4.9 versions.

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-2026-104670 represents an unauthenticated Cross-Site Scripting (XSS) vulnerability affecting LearnPress versions through 4.4.9, a widely-deployed WordPress learning management plugin. This vulnerability is critical because it allows attackers to inject malicious scripts without authentication, meaning anyone can exploit it without credentials. Organizations running affected versions of LearnPress—including educational institutions, corporate training platforms, and course delivery systems—face immediate risk of session hijacking, credential theft, and instructor/administrator account compromise. The lack of authentication requirement dramatically lowers the barrier to exploitation, making this vulnerability particularly attractive to threat actors and increasing the likelihood of widespread attacks across the WordPress ecosystem.

Casky's 323 mapped security skills detect the attack patterns underlying this vulnerability by leveraging Claude's extended reasoning to correlate indicators across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky would observe detection patterns for initial reconnaissance probing of LearnPress installations, followed by payload delivery attempts characteristic of CWE-79 XSS exploitation. The platform's skills identify suspicious POST/GET parameters common in unauthenticated XSS attacks, script tag injection patterns, and DOM manipulation attempts targeting the vulnerable LearnPress endpoints. When reviewing findings, security teams would see correlated evidence of attackers performing version enumeration, testing input validation bypasses, and injecting polyglot payloads designed to evade basic XSS filters—all within the reconnaissance and initial access phases of the attack chain.

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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-2026-104670.

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-2026-104670

Casky has 323 skills that investigate the attack patterns behind CVE-2026-104670. Run one and get CVSS-scored findings in 3 minutes.

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