SQL Injection in School Registration System Student Deletion

A vulnerability was determined in SourceCodester School Registration and Fee System 1.0. The impacted element is an unknown function of the file /bilal/normal/delete_stud.php. Executing a manipulation of the argument selector[] can lead to sql injection. The attack can be launched remotely. The exploit has been publicly disclosed and may be utilized.

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-2026-90515 represents a critical SQL injection vulnerability in SourceCodester School Registration and Fee System version 1.0, specifically within the student deletion functionality at /bilal/normal/delete_stud.php. Attackers can manipulate the 'selector[]' parameter to inject arbitrary SQL commands, allowing unauthorized database access, data exfiltration, or modification. This vulnerability affects educational institutions and administrators using this system, with particular risk given the sensitive nature of student records and fee information. The public disclosure and demonstrated exploit path significantly increase the threat landscape for unpatched deployments.

Casky's skill mapping identifies 323 relevant detection patterns across MITRE ATT&CK's Initial Access (TA0001) and Persistence (TA0043) techniques. Practitioners leveraging Claude's extended reasoning will observe attack indicators including anomalous HTTP requests with SQL metacharacters in the selector[] parameter, database query patterns deviating from legitimate student deletion operations, and suspicious authentication attempts following injection attempts. The platform maps these observations to CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection), enabling security teams to correlate detection signals—such as database error messages, unusual query execution times, and access to system tables—with known exploitation patterns. This integrated approach transforms raw security events into actionable threat intelligence for immediate remediation.

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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-2026-90515.

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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