Unauthenticated Block Asset URL Injection in WordPress Plugin

The Cloud Blocks WordPress plugin through 1.1.8 does not perform any authorisation or sanitisation when storing block asset URLs, allowing unauthenticated users to store malicious scripts that are executed in the browser of any privileged user, such as an administrator, who opens the block editor.

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-2025-15702 exploits a critical authorization and input validation gap in the Cloud Blocks WordPress plugin (versions through 1.1.8). The vulnerability allows unauthenticated attackers to inject malicious scripts into block asset URLs without any sanitization or access controls. When a privileged user—such as an administrator—opens the WordPress block editor, these stored malicious scripts execute in their browser context, creating a stored cross-site scripting (XSS) attack vector. This is particularly dangerous because WordPress administrators typically have elevated permissions, making this an effective initial access and privilege escalation mechanism. Any WordPress site running the vulnerable plugin version is at risk, regardless of other security measures in place.

Casky's 323 mapped skills detect this attack pattern by analyzing the MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). The platform's Claude AI-powered detection identifies CWE-79 indicators: unauthorized storage of untrusted URLs, absence of input validation on block asset parameters, and execution of stored malicious content in authenticated user contexts. Practitioners reviewing Casky findings would see flagged behaviors including unauthenticated POST requests to block storage endpoints, unvalidated URL parameters persisting to the database, and script execution anomalies when administrative users access the editor. The extended reasoning capability correlates these signals across the attack chain—from initial unauthenticated access through to privilege escalation via administrator session compromise—enabling teams to identify exploitation attempts before damage occurs.

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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-2025-15702.

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-2025-15702

Casky has 323 skills that investigate the attack patterns behind CVE-2025-15702. Run one and get CVSS-scored findings in 3 minutes.

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