SQL Injection in ProfileGrid User Profile Management Plugin

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Metagauss ProfileGrid profilegrid-user-profiles-groups-and-communities allows Blind SQL Injection.This issue affects ProfileGrid: from n/a through 6.0.0.2.

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

CVE-2026-94663 exposes a blind SQL injection vulnerability in ProfileGrid versions through 6.0.0.2, a WordPress plugin for managing user profiles, groups, and communities. Blind SQL injection allows attackers to extract sensitive data from databases without seeing direct query results—instead inferring information through response timing, page content variations, or error messages. This vulnerability affects any WordPress installation running the vulnerable ProfileGrid plugin, potentially compromising user credentials, personal information, and community data. The CVSS score of 8.5 reflects the high severity of unauthenticated database access and the ease with which attackers can exploit improper input sanitization in SQL commands.

Casky's 323 mapped skills leverage Claude AI's extended reasoning to identify attack patterns across MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would detect SQL injection attempts through reconnaissance signatures—including suspicious query patterns, timing-based inference probes, and special character encoding in user input fields targeting ProfileGrid endpoints. The platform's skills map exploitation activity to CWE-89 violation patterns, flagging unsafe database queries built from unvalidated user parameters. Findings would highlight: (1) reconnaissance phase activity showing attackers testing injection payloads; (2) initial access exploitation as blind SQL queries execute against the backend database; (3) logical anomalies in application responses suggesting successful data exfiltration through boolean-based or time-based blind injection techniques. Teams can use these detections to prioritize patching ProfileGrid installations and implement input validation controls before attackers progress to 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-2026-94663.

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-2026-94663

Casky has 323 skills that investigate the attack patterns behind CVE-2026-94663. Run one and get CVSS-scored findings in 3 minutes.

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