SQL Injection in Hospital Patient Records Management System

A security flaw has been discovered in SourceCodester Hospitals Patient Records Management System 1.0. This issue affects some unknown processing of the file /classes/Master.php?f=save_patient. The manipulation of the argument ID results in sql injection. It is possible to launch the attack remotely. The exploit has been released to the public and may be used for attacks.

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-2026-11501 represents a critical SQL injection vulnerability in SourceCodester Hospitals Patient Records Management System version 1.0, specifically within the /classes/Master.php file's patient-saving functionality. The flaw allows attackers to manipulate the ID parameter to inject malicious SQL commands, enabling unauthorized database access, data exfiltration, and potential system compromise. This vulnerability is particularly severe because it affects healthcare infrastructure—a sector handling sensitive patient information—and can be exploited remotely without authentication. Organizations running this patient records system are at immediate risk, especially given that exploit code is publicly available.

Casky's integration of Claude AI with 301 matching security skills enables detection of attack patterns associated with this vulnerability across MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would identify suspicious patterns including: unusual SQL command sequences in web application logs, attempted parameter manipulation in HTTP requests to /classes/Master.php, and database queries with embedded malicious syntax—all mapped to CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection). The platform's extended reasoning capabilities would correlate these indicators with known attack signatures, alerting teams to reconnaissance activity probing for vulnerable ID parameters and subsequent exploitation attempts that deviate from normal patient record operations, 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-2026-11501.

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

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-11501

Casky has 301 skills that investigate the attack patterns behind CVE-2026-11501. Run one and get CVSS-scored findings in 3 minutes.

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