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Vulnerability Database/CVE-2026-13579

CVE-2026-13579: Hospital Management System SQLi Vulnerability

CVE-2026-13579 is a SQL injection flaw in Hospital Management System 1.0 affecting the patientchangepassword.php file. Attackers can exploit this remotely to manipulate databases. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-13579 Overview

CVE-2026-13579 is a SQL injection vulnerability in itsourcecode Hospital Management System 1.0. The flaw resides in the /patientchangepassword.php script, where the newpassword parameter is passed to a database query without proper sanitization. An authenticated remote attacker can manipulate this parameter to inject arbitrary SQL statements. Public exploit details have been released, increasing the likelihood of opportunistic attacks against exposed installations. The weakness is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Critical Impact

Remote attackers with low-level privileges can inject SQL statements through the newpassword parameter, potentially exposing or modifying patient records stored in the backend database.

Affected Products

  • itsourcecode Hospital Management System 1.0
  • Deployments exposing /patientchangepassword.php to authenticated users
  • Any downstream forks or redistributions of the same codebase

Discovery Timeline

  • 2026-06-29 - CVE-2026-13579 published to the National Vulnerability Database (NVD)
  • 2026-06-29 - Last updated in NVD database
  • 2026-07-02 - Exploit Prediction Scoring System (EPSS) data recorded at 0.2%

Technical Details for CVE-2026-13579

Vulnerability Analysis

The vulnerability is a classic SQL injection defect in a PHP-based web application used to manage hospital operations. The patientchangepassword.php endpoint accepts user-supplied input via the newpassword parameter and concatenates that value into a SQL statement executed against the backend database. Because the application does not use parameterized queries or input validation, attacker-controlled SQL syntax is interpreted by the database engine.

Exploitation requires low privileges, since the endpoint is intended for authenticated patient accounts. Public disclosure of the exploit lowers the barrier for attackers who can register or obtain patient credentials. Successful exploitation may lead to unauthorized reads, modification of stored credentials, or tampering with medical records held by the application.

Root Cause

The root cause is improper neutralization of special characters passed to a downstream SQL interpreter [CWE-74]. The newpassword value is embedded directly into the SQL statement responsible for updating the patient's password, without prepared statements or escaping.

Attack Vector

The attack vector is network-based. An authenticated attacker submits a crafted HTTP request to /patientchangepassword.php containing SQL syntax in the newpassword field. The attacker can then use techniques such as UNION-based extraction, boolean-based blind injection, or time-based blind injection to interact with the database. Additional technical discussion is available in the GitHub Issue Discussion and the VulDB CVE-2026-13579 advisory.

No verified exploit code is republished here. See the referenced advisories for technical details.

Detection Methods for CVE-2026-13579

Indicators of Compromise

  • HTTP POST requests to /patientchangepassword.php containing SQL metacharacters such as single quotes, --, UNION, SLEEP(, or INFORMATION_SCHEMA in the newpassword field.
  • Unexpected database errors, long-running queries, or slow responses originating from the patient password change workflow.
  • Successful password change events immediately followed by anomalous read activity against patient tables.

Detection Strategies

  • Deploy web application firewall (WAF) signatures that flag SQL syntax in POST body parameters targeting /patientchangepassword.php.
  • Enable database query logging and alert on unions, stacked queries, or schema enumeration issued by the web application's service account.
  • Correlate authentication events with password change requests to identify credential-testing patterns preceding injection attempts.

Monitoring Recommendations

  • Forward web server access logs and MySQL/MariaDB general query logs to a centralized analytics platform for retrospective hunting.
  • Baseline normal request sizes and character distributions for the newpassword parameter and alert on statistical outliers.
  • Monitor for outbound data transfer spikes from the database server that could indicate bulk record exfiltration.

How to Mitigate CVE-2026-13579

Immediate Actions Required

  • Restrict network access to /patientchangepassword.php to trusted networks until a code-level fix is validated.
  • Rotate credentials for the database account used by the Hospital Management System and enforce least-privilege permissions.
  • Audit patient account activity for signs of unauthorized password changes or record modification during the exposure window.

Patch Information

No official vendor patch has been published at the time of this writing. Refer to the IT Source Code Resource and the VulDB Vulnerability #374585 entry for updated remediation guidance. Organizations maintaining the codebase should replace vulnerable SQL concatenation with prepared statements using PDO or mysqli parameter binding.

Workarounds

  • Apply a virtual patch at the WAF layer that blocks SQL metacharacters in the newpassword request parameter.
  • Introduce server-side input validation that enforces a strict allowlist of characters for password fields before they reach the SQL layer.
  • Disable or remove the patient self-service password change function until the underlying query is refactored to use parameterized statements.
bash
# Example ModSecurity rule to block SQL syntax in the newpassword parameter
SecRule ARGS:newpassword "@rx (?i)(union(\s|/\*)+select|--|;|/\*|\bsleep\s*\(|information_schema)" \
    "id:1013579,phase:2,deny,status:403,log,msg:'CVE-2026-13579 SQLi attempt on patientchangepassword.php'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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