SQL Injection in Student Management System Parameter Handling

A vulnerability was detected in code-projects Student Details Management System 1.0. This affects an unknown function of the file /index.php. Performing a manipulation of the argument roll results in sql injection. The attack is possible to be carried out remotely. The exploit is now public and may be used.

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-2026-10110 represents a critical SQL injection vulnerability in the Student Details Management System version 1.0, specifically within the /index.php file's roll parameter processing. This high-severity flaw (CVSS 7.3) allows unauthenticated attackers to manipulate database queries remotely by injecting malicious SQL code through an unvalidated input parameter. The vulnerability affects educational institutions and organizations deploying this management system, potentially exposing sensitive student records, credentials, and institutional data to unauthorized access, modification, or deletion. With public exploits already available, this vulnerability presents an immediate and active threat requiring urgent remediation.

Casky's 301 matching security skills leverage Claude's extended reasoning to detect the attack patterns underlying this vulnerability across two critical MITRE ATT&CK techniques: Initial Access (TA0001) and Reconnaissance (TA0043). Practitioners using Casky would identify detection signals including anomalous SQL syntax patterns in HTTP request parameters, suspicious quote-escaping sequences in the roll parameter, database error messages leaking schema information, and unusual database connection behaviors. The platform's skill mapping enables security teams to trace attack chains from reconnaissance activities where threat actors probe for injectable parameters, through exploitation attempts that manipulate roll values with SQL metacharacters, to potential lateral movement and data exfiltration. Practitioners would receive findings highlighting improper input validation and parameterized query gaps, with contextual recommendations for query parameterization, input whitelisting, and WAF rule deployment.

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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-2026-10110.

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-2026-10110

Casky has 301 skills that investigate the attack patterns behind CVE-2026-10110. Run one and get CVSS-scored findings in 3 minutes.

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