SQL Injection in CloudClassroom PHP Faculty Details Module

A vulnerability was detected in mathurvishal CloudClassroom-PHP-Project up to 5dadec098bfbbf3300d60c3494db3fb95b66e7be. Affected is an unknown function of the file mydetailsfaculty.php. The manipulation of the argument myfid results in sql injection. The attack can be launched remotely. The exploit is now public and may be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The vendor was contacted early about this disclosure but did not respond in any way.

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-2026-100315 is a remote SQL injection vulnerability affecting mathurvishal's CloudClassroom-PHP-Project through the mydetailsfaculty.php file. By manipulating the 'myfid' parameter, unauthenticated attackers can inject arbitrary SQL commands to extract, modify, or delete sensitive database information. This vulnerability is particularly concerning because CloudClassroom is an educational platform likely storing student records, grades, and personally identifiable information (PII). Organizations running affected versions—particularly educational institutions—face immediate risk of data exfiltration and integrity compromise. The public availability of exploit code and the lack of version tracking in this project significantly increase exploitation likelihood.

Casky.ai's 323 mapped skills detect this attack pattern through Claude AI's extended reasoning across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky would observe detection findings aligned with CWE-74 (Improper Neutralization of Special Elements in Output) and CWE-89 (SQL Injection). The platform's security skills enable identification of anomalous database query patterns, suspicious parameter encoding in mydetailsfaculty.php requests, and unauthorized database access attempts. A practitioner reviewing Casky findings would see flagged indicators such as: unusual SQL metacharacters in the myfid parameter, database error messages revealing schema information, unexpected data exfiltration patterns, and reconnaissance queries probing table structures—all hallmarks of SQL injection exploitation mapped to adversary techniques for initial access and data collection.

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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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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-2026-100315.

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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