WordPress Chat Widget Plugin SQL Injection Vulnerability

The Click n Chat (Chat Widget Integration) WordPress plugin before 1.1.3 does not properly validate a parameter before using it as a column identifier in a SQL query, allowing unauthenticated attackers 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 Click n Chat WordPress plugin before version 1.1.3 contains a critical SQL injection vulnerability (CWE-89) stemming from insufficient input validation on a column identifier parameter. This flaw allows unauthenticated attackers to inject malicious SQL commands directly into database queries, potentially leading to unauthorized data access, modification, or deletion. WordPress sites running vulnerable versions of this popular chat widget integration are immediately at risk, as the attack requires no authentication and can be exploited by any internet-connected actor. Given that WordPress powers over 43% of all websites, compromises affecting plugin security have broad implications across countless organizations relying on this platform for customer communication.

Casky's 323 mapped skills leverage Claude's extended reasoning to detect the attack patterns associated with this vulnerability by analyzing MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance targeting databases and application configuration). Security practitioners using Casky would identify suspicious patterns including: unexpected SQL command sequences in web application logs, parameter tampering attempts in HTTP requests targeting the vulnerable plugin endpoints, and database query logs showing UNION-based or time-based blind SQL injection payloads. The platform's skills would flag indicators such as encoded SQL syntax within chat widget parameters, repeated failed queries with variation in SQL operators, and reconnaissance activity probing for database structure information—all hallmarks of SQL injection exploitation chains. Practitioners would receive detailed findings linking observed attack behavior directly to exploitation techniques, enabling rapid threat containment and patch prioritization.

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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-2026-92997.

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-2026-92997

Casky has 323 skills that investigate the attack patterns behind CVE-2026-92997. Run one and get CVSS-scored findings in 3 minutes.

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