WordPress Salon Booking Plugin REST API Nonce Verification Bypass

The Salon Booking System WordPress plugin before 10.31.9 does not correctly verify the authenticity of REST API requests and discards WordPress core's nonce check for cookie-authenticated sessions across the whole REST API, allowing unauthenticated attackers who trick a logged-in administrator into clicking a crafted link to forge requests in that administrator's browser, up to creating a new administrator account.

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 Salon Booking System WordPress plugin before version 10.31.9 contains a critical cross-site request forgery (CSRF) vulnerability that disables WordPress's built-in nonce verification for REST API requests authenticated via cookies. This flaw allows unauthenticated attackers to craft malicious links that, when clicked by logged-in administrators, execute unauthorized API requests in the administrator's security context. The vulnerability is particularly dangerous because it can lead to account takeover through the creation of new administrator accounts, giving attackers persistent administrative access to affected WordPress installations. Any organization using this plugin without the patched version exposes their WordPress infrastructure to complete compromise.

Casky's platform identifies this attack pattern by correlating 323 security skills against MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance), detecting the characteristic indicators of CSRF exploitation and privilege escalation attempts. Practitioners using Casky would observe findings highlighting: (1) suspicious REST API calls lacking proper nonce validation originating from external referers, (2) user account creation events triggered from unexpected HTTP requests with administrator-level permissions, and (3) cookie-based session hijacking patterns where legitimate administrator sessions are leveraged for malicious API operations. Claude's extended reasoning capability maps these behavioral indicators to the underlying CWE-352 (Cross-Site Request Forgery) weakness, enabling security teams to rapidly identify compromised plugin instances and trace lateral movement attempts before attackers establish persistence through rogue administrator accounts.

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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-2026-110015.

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-2026-110015

Casky has 323 skills that investigate the attack patterns behind CVE-2026-110015. Run one and get CVSS-scored findings in 3 minutes.

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