SQL Injection in Hospital Patient Records Management System

A security flaw has been discovered in SourceCodester Hospitals Patient Records Management System 1.0. This impacts an unknown function of the file /classes/Users.php?f=delete. The manipulation of the argument ID results in sql injection. The attack may be launched 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-2026-10184 represents a critical SQL injection vulnerability in SourceCodester Hospitals Patient Records Management System version 1.0, specifically within the /classes/Users.php delete function where the ID parameter is improperly sanitized. This flaw allows unauthenticated attackers to inject arbitrary SQL commands remotely, potentially enabling unauthorized access to sensitive patient data, modification of medical records, or complete database compromise. Healthcare organizations relying on this system face immediate risk to patient privacy, regulatory compliance (HIPAA, GDPR), and operational continuity, making this a high-priority remediation target despite its absence from the CISA KEV list.

Casky's 301 mapped security skills leverage Claude AI's extended reasoning to detect the attack patterns underlying this vulnerability across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky would observe detection signals including: suspicious parameter manipulation attempts in HTTP request logs to /classes/Users.php with encoded or obfuscated SQL syntax in ID fields (CWE-89 pattern matching), unusual database query patterns indicating injected commands, and failed authentication attempts paired with database error responses that leak schema information (TA0001 reconnaissance indicators). The platform's skill correlations would surface related defensive techniques such as input validation bypass detection, SQL query anomaly detection, and database access control violations—enabling security teams to identify exploitation attempts in real-time and correlate them with other indicators of compromise across their infrastructure.

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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-2026-10184.

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-2026-10184

Casky has 301 skills that investigate the attack patterns behind CVE-2026-10184. Run one and get CVSS-scored findings in 3 minutes.

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