Tainacan WordPress Plugin SQL Injection via Geoquery Parameter

The Tainacan plugin for WordPress is vulnerable to time-based blind SQL Injection via the 'geoquery' parameter in all versions up to and including 1.0.3 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 322matched 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 Tainacan WordPress plugin contains a time-based blind SQL injection vulnerability in the 'geoquery' parameter affecting all versions up to 1.0.3. This vulnerability stems from insufficient input escaping and improper SQL query preparation, allowing unauthenticated attackers to inject arbitrary SQL commands. With a CVSS score of 7.5, this poses a high risk to any WordPress installation using the affected plugin versions. The vulnerability is particularly dangerous because it requires no authentication, meaning any threat actor can exploit it to extract sensitive information from the underlying database—including user credentials, personal data, and configuration details that could enable further compromise.

Casky's 322 mapped skills leverage Claude AI with extended reasoning to detect exploitation attempts tied to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would identify attack patterns including: anomalous HTTP requests to WordPress endpoints containing time-delay SQL syntax in the geoquery parameter, unusual database query patterns with extended execution times, and reconnaissance activity probing for plugin presence and version information. The platform's skill set enables detection of both active exploitation attempts—where attackers measure response timing to infer true/false conditions—and the reconnaissance phase where attackers enumerate database structure to locate high-value data, providing comprehensive visibility into the attack chain before sensitive data exfiltration 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 →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-6230.

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-2026-6230

Casky has 322 skills that investigate the attack patterns behind CVE-2026-6230. Run one and get CVSS-scored findings in 3 minutes.

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