CVE-2025-5674: Patient Record Management System SQL Vuln

CVE-2025-5674 Overview

CVE-2025-5674 is a SQL injection vulnerability in code-projects Patient Record Management System 1.0, developed by fabianros. The flaw resides in the urinalysis_form.php file, where the urinalysis_id parameter is passed directly into a database query without proper sanitization. Attackers can manipulate this argument to inject arbitrary SQL statements. The vulnerability is remotely exploitable over the network and requires only low-level privileges. Public disclosure of the exploit details has already occurred, increasing the risk of opportunistic attacks against exposed deployments. The issue is classified under [CWE-74] (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Critical Impact
Remote attackers with low privileges can inject SQL statements through urinalysis_form.php to read, modify, or destroy patient health records stored in the application database.

Affected Products

Fabianros Patient Record Management System 1.0
Component: urinalysis_form.php
CPE: cpe:2.3:a:fabianros:patient_record_management_system:1.0:*:*:*:*:*:*:*

Discovery Timeline

2025-06-05 - CVE-2025-5674 published to NVD
2025-06-10 - Last updated in NVD database

Technical Details for CVE-2025-5674

Vulnerability Analysis

The vulnerability is a SQL injection flaw affecting the urinalysis form workflow of the Patient Record Management System. The application accepts the urinalysis_id parameter from a remote HTTP request and concatenates it into a SQL query without parameterization or input validation. An attacker submits crafted input containing SQL metacharacters such as single quotes, UNION SELECT clauses, or boolean payloads. The database engine then interprets the injected fragment as part of the query logic. Because the application handles sensitive patient health information, successful exploitation has direct privacy and integrity consequences. Exploitation requires authenticated access at a low privilege level but no user interaction. The EPSS score for this issue is 0.361%.

Root Cause

The root cause is the absence of prepared statements or input sanitization when handling the urinalysis_id request parameter inside urinalysis_form.php. User-controlled input flows directly into a dynamically built SQL string, allowing query structure to be altered by the attacker. This is a textbook injection weakness captured by [CWE-74].

Attack Vector

The attack vector is network-based. An attacker authenticated with low privileges sends an HTTP request to urinalysis_form.php with a tampered urinalysis_id value. By appending SQL operators or stacked queries, the attacker can extract record data, bypass authorization checks tied to record IDs, or alter underlying tables. No additional user interaction is required to trigger the payload.

// No verified exploit code is published. Conceptual request pattern:
// GET /urinalysis_form.php?urinalysis_id=1' UNION SELECT username,password FROM users-- -
// The injected fragment alters the SQL query executed by the backend.

Detection Methods for CVE-2025-5674

Indicators of Compromise

HTTP requests to urinalysis_form.php containing SQL metacharacters such as ', --, /*, UNION, SELECT, or SLEEP( in the urinalysis_id parameter.
Web server logs showing abnormally long or URL-encoded values for urinalysis_id.
Database error messages returned to clients indicating syntax errors near the urinalysis_id value.
Unexpected outbound data volumes from the application database tier following form submissions.

Detection Strategies

Deploy a Web Application Firewall (WAF) signature set that inspects query strings to urinalysis_form.php and blocks SQL injection payload patterns.
Enable database query logging and alert on queries against the urinalysis table that reference system tables such as information_schema.
Correlate authentication events with subsequent injection-style request patterns to identify compromised low-privilege accounts.

Monitoring Recommendations

Monitor application access logs for repeated 500-series errors originating from urinalysis_form.php.
Track changes to patient record tables and trigger alerts on bulk read or update operations outside business hours.
Review authentication logs for accounts issuing high volumes of form submissions in short windows.

How to Mitigate CVE-2025-5674

Immediate Actions Required

Restrict network exposure of the Patient Record Management System to trusted internal networks or VPN access only.
Audit existing application accounts and disable any that are unused or hold unnecessary privileges.
Apply WAF rules that block SQL injection patterns targeting the urinalysis_id parameter until a code-level fix is deployed.
Review database and web server logs for prior exploitation attempts referencing urinalysis_form.php.

Patch Information

No vendor patch advisory has been published for CVE-2025-5674 at the time of writing. Refer to the Code Projects project page and the VulDB entry for status updates. Technical details are summarized in the GitHub CVE PDF report.

Workarounds

Rewrite the affected query in urinalysis_form.php to use parameterized prepared statements via PDO or MySQLi bindings.
Add server-side input validation that enforces a numeric type and length limit on urinalysis_id before any database access.
Apply the principle of least privilege to the database account used by the application so injection cannot reach administrative tables.
Consider taking the application offline until a vendor-validated fix is released if patient data exposure is unacceptable.

bash

# Example PHP remediation pattern using PDO prepared statements
$stmt = $pdo->prepare('SELECT * FROM urinalysis WHERE urinalysis_id = :id');
$stmt->bindValue(':id', (int) $_GET['urinalysis_id'], PDO::PARAM_INT);
$stmt->execute();
$row = $stmt->fetch(PDO::FETCH_ASSOC);