Cross-Site Request Forgery in Musetheque V4 Information Disclosure

Cross-site request forgery vulnerability exists in Musetheque V4 Information Disclosure for IPKNOWLEDGE V4L1 rev2203.0 and earlier. If a user views a malicious page while logged-in to the affected product, unexpected operations may be done.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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

This CVE reveals a cross-site request forgery (CSRF) vulnerability in Musetheque V4 Information Disclosure affecting IPKNOWLEDGE V4L1 rev2203.0 and earlier versions. CSRF vulnerabilities allow attackers to trick authenticated users into performing unwanted actions by hosting malicious pages that exploit the victim's active session. With a CVSS score of 8.1 (high severity), this flaw poses significant risk to organizations using vulnerable versions. Any user who authenticates to the affected product and subsequently visits an attacker-controlled webpage becomes susceptible to unauthorized operations being executed on their behalf, potentially leading to data modification, privilege escalation, or further system compromise.

Casky.ai's 301 mapped security skills leverage Claude AI's extended reasoning to correlate this vulnerability against MITRE ATT&CK Initial Access (TA0001) and Persistence (TA0043) techniques. Practitioners using the platform would observe detection patterns identifying suspicious cross-origin requests, unexpected state-changing operations initiated from external contexts, and anomalous POST/PUT requests lacking proper CSRF token validation. The skills would flag characteristics typical of CSRF exploitation—such as requests originating from non-authenticated origins, missing or invalid Referer headers, and session-based actions triggered without user interaction. By mapping these indicators to ATT&CK's technique framework, security teams gain visibility into whether their defenses can detect both the initial phishing/social engineering vector (TA0001) and any resulting persistence mechanisms an attacker might establish post-exploitation (TA0043).

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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 →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-28761.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-28761

Casky has 301 skills that investigate the attack patterns behind CVE-2026-28761. Run one and get CVSS-scored findings in 3 minutes.

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