WordPress Link Library Plugin SQL Injection Flaw

The Link Library plugin for WordPress is vulnerable to time-based SQL Injection via the 'link_url' parameter in all versions up to, and including, 7.9.2 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.

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 Link Library plugin for WordPress contains a time-based SQL injection vulnerability in the 'link_url' parameter affecting all versions through 7.9.2. This flaw arises from insufficient input escaping and improper query preparation, allowing unauthenticated attackers to inject malicious SQL commands directly into database queries. The vulnerability is particularly dangerous because it requires no authentication—any visitor to an affected WordPress site can exploit it to extract sensitive information such as user credentials, private posts, configuration data, and other database contents. With a CVSS score of 7.5, this represents a high-severity risk to WordPress installations using this plugin, potentially affecting thousands of websites.

Casky's 323 mapped skills leverage Claude AI with extended reasoning to detect the attack patterns associated with this vulnerability across MITRE ATT&CK's Resource Development (TA0001) and Reconnaissance (TA0043) phases. Practitioners using the platform would identify suspicious patterns including: time-delay-based payloads in request logs (characteristic of time-based SQL injection detection), unusual database query timing anomalies, and parameter manipulation attempts on the 'link_url' field. The skills map to CWE-89 (SQL Injection) detection logic, enabling practitioners to spot attack signatures before data exfiltration occurs. Key findings would highlight unauthenticated POST/GET requests with SQL keywords, boolean-based responses indicating successful injection, and database query logs showing extended execution times—all indicators that an attacker is actively probing or exploiting the vulnerability to map the database structure and extract sensitive information.

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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-2026-15090.

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-2026-15090

Casky has 323 skills that investigate the attack patterns behind CVE-2026-15090. Run one and get CVSS-scored findings in 3 minutes.

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