SQL Injection in Pro Like Button WordPress Plugin

The Pro Like Button WordPress plugin before 2.0 does not properly sanitize and escape a parameter before using it in a SQL query, allowing unauthenticated users to perform SQL injection attacks.

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 Pro Like Button WordPress plugin before version 2.0 contains a critical SQL injection vulnerability (CWE-89) stemming from improper input sanitization and escaping. An unauthenticated attacker can inject malicious SQL commands through an unsanitized parameter, potentially gaining unauthorized access to sensitive database information, modifying data, or executing arbitrary commands on the underlying database system. This vulnerability is particularly concerning because WordPress plugins are widely deployed across millions of websites, and the unauthenticated nature of the attack means any internet-connected instance running the vulnerable plugin version is at risk without requiring valid credentials.

Casky's 323 matching security skills leverage Claude AI's extended reasoning to map this vulnerability across MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would observe detection patterns revealing SQL injection payloads in web request parameters—including characteristic SQL syntax patterns, comment sequences (-- or /**/), and UNION-based or time-based blind injection indicators. The platform's skills help security teams identify reconnaissance activities where attackers probe the application for SQL injection weaknesses, followed by exploitation attempts that represent initial access vectors. By correlating these attack patterns against the 754 mapped security skills, Casky enables practitioners to not only detect this specific CVE but understand the broader attack chain and implement targeted mitigations across their WordPress infrastructure.

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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-2026-89296.

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-2026-89296

Casky has 323 skills that investigate the attack patterns behind CVE-2026-89296. Run one and get CVSS-scored findings in 3 minutes.

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