SQL Injection in Student Management System Login

A flaw has been found in sambitraj STUDENT-MANAGEMENT-SYSTEM 1.0. This impacts an unknown function of the component Login Page. Executing a manipulation of the argument email can lead to sql injection. The attack may be performed from remote. The exploit has been published and may be used. 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-2026-10111 represents a critical authentication bypass vulnerability in the STUDENT-MANAGEMENT-SYSTEM version 1.0, where unsanitized user input in the login page's email parameter allows attackers to inject arbitrary SQL commands. This vulnerability matters because student management systems often contain sensitive personally identifiable information (PII), academic records, and institutional data. Educational institutions, administrators, and students using this system are directly at risk of data exfiltration, unauthorized access, and potential account takeover. The remote nature of this attack—requiring only network access to the login page—combined with published exploit code significantly increases the likelihood of active exploitation in the wild.

Casky's 301 matching skills detect the attack patterns behind this vulnerability by analyzing behavior associated with MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). The platform's Claude AI-powered detection identifies SQL injection attempts through pattern recognition of malicious input manipulation—detecting syntax like SQL operators, comment sequences, and logical operators (AND, OR, UNION) embedded in email parameters. Practitioners using Casky would observe findings flagging anomalous login requests with special characters, multiple SQL keywords in a single field, and authentication attempts that exhibit characteristics of CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection). The extended reasoning capability maps these tactical indicators to the initial access chain, helping security teams prioritize vulnerability assessment and patching of exposed login endpoints 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-2026-10111.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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analyzing-campaign-attribution-evidence

threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-10111

Casky has 301 skills that investigate the attack patterns behind CVE-2026-10111. Run one and get CVSS-scored findings in 3 minutes.

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