WP-Partner Plugin SQL Injection Allows Unauthenticated Database Access

The WP-Partner WordPress plugin through 1.2.1 does not sanitise and escape a parameter before using it in a SQL query, allowing unauthenticated attackers to append additional SQL queries and 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 WP-Partner WordPress plugin through version 1.2.1 contains a critical SQL injection vulnerability (CWE-89) stemming from insufficient input sanitization and output escaping. An unauthenticated attacker can manipulate unvalidated parameters to append arbitrary SQL commands, bypassing authentication entirely and extracting sensitive data directly from the WordPress database. This affects any WordPress installation running the vulnerable plugin version, potentially exposing user credentials, posts, configuration data, and other database contents. Given WordPress's widespread use, this vulnerability poses significant risk to small businesses, enterprises, and content publishers who rely on the platform without proper plugin vetting.

Casky's 323 matching security skills leverage Claude AI's extended reasoning to map attack patterns across MITRE ATT&CK initial access (TA0001) and reconnaissance (TA0043) techniques. Practitioners using Casky would identify this vulnerability through detection of SQL command injection patterns in web request parameters, anomalous database query structures, and unauthenticated access attempts targeting plugin endpoints. The platform's skill mapping would surface indicators such as malformed SQL syntax in logs, unusual UNION SELECT statements, time-based SQL inference attempts, and error-based database enumeration—all hallmarks of SQL injection exploitation. Security teams would see findings correlating suspicious HTTP requests with database access anomalies, enabling rapid threat hunting and remediation before attackers establish persistent reconnaissance or lateral movement.

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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-2026-89234.

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

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