Unauthenticated SQL Injection in WordPress Store Finder Plugin

The Super Store Finder WordPress plugin through 7.8 does not sanitize a parameter of an unauthenticated AJAX action before using it in a SQL query, allowing unauthenticated attackers to perform SQL injection and extract data 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

CVE-2026-12965 is a critical SQL injection vulnerability (CWE-89) in the Super Store Finder WordPress plugin affecting versions through 7.8. The vulnerability exists in an unauthenticated AJAX action that fails to sanitize user-supplied parameters before incorporating them into SQL queries. This means any attacker without valid credentials can craft malicious SQL payloads and execute arbitrary database queries, potentially exposing sensitive customer data, product information, and WordPress configuration details. The 9.1 CVSS score reflects the severity: unauthenticated access + network-based exploitation + high confidentiality impact. Organizations running WordPress sites with this plugin installed face immediate risk of data breach and reconnaissance activities.

Casky's 322 mapped skills help practitioners detect the attack patterns underlying this vulnerability by correlating MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). When extended reasoning across Claude AI analyzes network traffic and application logs, practitioners will observe: suspicious AJAX requests to the vulnerable endpoint containing SQL metacharacters (UNION, SELECT, OR 1=1), abnormal database query patterns deviating from baseline behavior, and potential data exfiltration attempts. The skills framework maps these indicators to SQL injection attack chains, enabling security teams to identify exploitation attempts in real-time, distinguish malicious AJAX calls from legitimate store finder queries, and trace reconnaissance activities that precede full database compromise. This multi-layered detection approach significantly reduces dwell time between vulnerability awareness and threat mitigation.

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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-2026-12965.

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-2026-12965

Casky has 322 skills that investigate the attack patterns behind CVE-2026-12965. Run one and get CVSS-scored findings in 3 minutes.

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