WordPress Quotes Llama Plugin SQL Injection Flaw

The Quotes llama WordPress plugin before 3.1.6 does not properly sanitize and escape a user-supplied parameter before using it in a SQL query, allowing unauthenticated attackers to perform UNION-based SQL injection and read arbitrary data from the database, including password hashes.

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 Quotes Llama WordPress plugin before version 3.1.6 contains an unauthenticated SQL injection vulnerability stemming from improper input sanitization and escaping (CWE-89). An attacker can exploit this flaw by crafting malicious SQL queries that bypass the plugin's query logic, enabling UNION-based SQL injection attacks. This vulnerability is particularly critical because it allows unauthenticated access—no WordPress credentials are required—making it accessible to any threat actor on the internet. The attack surface is massive: every WordPress installation running the vulnerable plugin version becomes a potential target. Attackers can extract sensitive data including user password hashes, email addresses, and other database contents, creating immediate risks for credential compromise and lateral movement.

Casky's 322 matching skills leverage Claude's extended reasoning to detect the attack patterns mapped to TA0001 (Initial Access) and TA0043 (Reconnaissance). When analyzing this vulnerability, practitioners using Casky will identify suspicious HTTP requests containing SQL metacharacters and UNION keywords in plugin parameters—hallmarks of TA0001 exploitation attempts. The platform's skills also map to reconnaissance patterns where attackers probe the plugin's behavior to understand database structure before crafting targeted injection payloads. Practitioners will see findings highlighting unauthenticated requests to vulnerable plugin endpoints, parameter manipulation attempts, and database query anomalies that deviate from normal application behavior. By correlating these attack indicators with the MITRE techniques, security teams can rapidly distinguish between legitimate traffic and active exploitation attempts, enabling faster incident detection and response.

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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-2026-12512.

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-2026-12512

Casky has 322 skills that investigate the attack patterns behind CVE-2026-12512. Run one and get CVSS-scored findings in 3 minutes.

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