SQL Injection in Mojoomla School Management System

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Mojoomla School Management allows SQL Injection. This issue affects School Management: from n/a through 93.2.0.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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-2025-15655 exposes a critical SQL injection vulnerability in Mojoomla School Management affecting versions through 93.2.0. SQL injection occurs when an application fails to properly neutralize special characters in user input before constructing database queries, allowing attackers to manipulate SQL commands and access, modify, or delete sensitive data. This vulnerability is particularly severe in educational platforms where student records, grades, attendance data, and personally identifiable information are stored. Schools, administrators, and potentially thousands of students and families are at risk of data exposure, unauthorized access, and system compromise.

Casky's 301 mapped skills leverage Claude AI's extended reasoning to detect the reconnaissance and exploitation patterns associated with TA0001 (Initial Access) and TA0043 (Reconnaissance) techniques that precede SQL injection attacks. Practitioners using Casky will receive findings that correlate suspicious database query patterns, unusual parameter encoding attempts, and anomalous SQL syntax in application logs—early indicators of SQL injection probing. The platform's skill set identifies both active exploitation attempts (malformed input strings, UNION-based queries, time-based blind SQL injection signatures) and preparatory reconnaissance activities like fingerprinting database systems and enumerating table structures. By mapping these attack behaviors to the MITRE ATT&CK framework, security teams gain visibility into the attack chain and can implement precise detection rules and input validation controls before exploitation occurs.

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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 →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2025-15655.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2025-15655

Casky has 301 skills that investigate the attack patterns behind CVE-2025-15655. Run one and get CVSS-scored findings in 3 minutes.

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