SQL Injection in PHP Student Management System Login

A vulnerability was detected in raisulislamg4 student_management_system_by_php up to 310d950e09013d5133c6b9210aff9444382d16d1. This issue affects some unknown processing of the file login_check.php of the component Login. Performing a manipulation of the argument Username results in sql injection. The attack may be initiated remotely. The exploit is now public and may be used. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The project was informed of the problem early through an issue report but has not responded yet.

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-2026-10225 is a critical SQL injection vulnerability in the login_check.php component of a popular PHP-based student management system. The vulnerability exists in the Username parameter processing, allowing unauthenticated attackers to manipulate SQL queries and potentially extract sensitive data, modify records, or bypass authentication entirely. This is particularly concerning because student management systems contain personally identifiable information (PII) of students, staff, and families. The rolling release model means organizations using this system must maintain vigilant patch management practices, as the vulnerability affects multiple versions up to commit 310d950e09013d5133c6b9210aff9444382d16d1. With a CVSS score of 7.3 (high) and public exploit availability, threat actors are actively scanning for vulnerable instances.

Casky's 301 matching security skills—powered by Claude AI's extended reasoning—enable practitioners to detect this attack pattern across their infrastructure by correlating MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance, alternative taxonomy). Practitioners using Casky would identify SQL injection attempts in authentication logs through pattern matching of suspicious SQL syntax in login requests (e.g., single quotes, UNION statements, comment characters in the Username field). The platform's CWE-74 (Improper Neutralization of Special Elements in Output) and CWE-89 (SQL Injection) detection rules would flag database query anomalies, unusual error messages revealing schema information, and timing-based injection attempts. When integrated into their security operations, Casky's skills surface these attack indicators as evidence of Initial Access (TA0001) attempts, allowing security teams to correlate malicious login patterns, implement input validation monitoring, and prioritize patches for systems still running vulnerable versions.

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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-2026-10225.

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-2026-10225

Casky has 301 skills that investigate the attack patterns behind CVE-2026-10225. Run one and get CVSS-scored findings in 3 minutes.

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