SQL Injection in College Management System Dashboard

A vulnerability was detected in tittuvarghese CollegeManagementSystem 3e476335cfbfb9a049e09f474c7ec885f69a9df3/a38852979f7e27ae67b610dce5979500ef8ebe01. This affects an unknown function of the file dashboard_page/forms/fetch.php. Performing a manipulation of the argument department_code results in sql injection. The attack can be initiated remotely. The exploit is now public and may be used. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are 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

A critical SQL injection vulnerability has been discovered in tittuvarghese CollegeManagementSystem, specifically in the dashboard_page/forms/fetch.php file where the department_code parameter lacks proper input validation. With a CVSS score of 7.3, this vulnerability allows attackers to execute arbitrary SQL commands remotely, potentially exposing sensitive student and institutional data, compromising system integrity, or enabling unauthorized administrative access. Educational institutions using this system are immediately at risk, particularly those managing sensitive records through web-accessible dashboards. The vulnerability's public exploitation status and continuous delivery model mean attackers have ready-made exploits and institutions may unknowingly run vulnerable versions without clear patching guidance.

Casky's 301 matched security skills enable practitioners to detect this attack through Claude AI's analysis of MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance), identifying how attackers probe for and exploit input validation weaknesses. Practitioners using Casky would see findings flagging suspicious SQL syntax in HTTP parameters, anomalous database query patterns, and unusual authentication bypass attempts in their logs. The platform maps CWE-74 (Improper Neutralization of Special Elements in Output) and CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) to correlate attack indicators—detecting encoded payloads, union-based injection attempts, and time-based blind SQL injection signatures. Security teams gain visibility into both the reconnaissance phase where attackers test input fields and the exploitation phase where crafted department_code values trigger unintended SQL execution, enabling faster incident response and 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 →

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-2026-11334.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-11334

Casky has 301 skills that investigate the attack patterns behind CVE-2026-11334. Run one and get CVSS-scored findings in 3 minutes.

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