Blind SQL Injection in Dynamic User Directory Plugin

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Sarah Giles Dynamic User Directory dynamic-user-directory allows Blind SQL Injection.This issue affects Dynamic User Directory: from n/a through 2.4.

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

This vulnerability is a Blind SQL Injection flaw (CWE-89) in the Sarah Giles Dynamic User Directory plugin affecting versions through 2.4. Blind SQL injection occurs when user input is improperly neutralized before being incorporated into SQL commands, allowing attackers to execute arbitrary database queries without seeing direct results. Instead of receiving query output, attackers infer database structure and content through response timing differences or boolean-based logic—a technique that can be slower but equally destructive. This affects organizations using this plugin for user management, potentially exposing authentication mechanisms, user credentials, and sensitive directory information. With a CVSS score of 7.6, this poses a high-risk threat to system confidentiality and integrity.

Casky's 323 matched security skills, powered by Claude AI's extended reasoning capabilities, detect the attack patterns mapped to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners would see findings flagged for: (1) suspicious SQL query patterns in application logs showing time-delay payloads or conditional logic injection attempts targeting user directory endpoints, (2) reconnaissance activities where attackers probe database structure through boolean-based responses, and (3) repeated failed authentication attempts interleaved with timing-based queries. Casky's skill mapping helps teams identify both the reconnaissance phase where attackers map the database schema and the initial access phase where credentials or sensitive data become exposed, enabling faster incident response and vulnerability remediation before exploitation.

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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-2026-42720.

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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