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CVE Vulnerability Database
Vulnerability Database/CVE-2026-37601

CVE-2026-37601: Patient Appointment Scheduler SQLi Flaw

CVE-2026-37601 is a SQL injection vulnerability in SourceCodester Patient Appointment Scheduler System v1.0 affecting the admin appointments management module. This article covers technical details, exploitation risks, and mitigation.

Published: April 17, 2026

CVE-2026-37601 Overview

SourceCodester Patient Appointment Scheduler System v1.0 contains a SQL Injection vulnerability in the file /scheduler/admin/appointments/manage_appointment.php. This vulnerability allows authenticated attackers with high privileges to inject malicious SQL queries through the affected endpoint, potentially leading to unauthorized access to sensitive patient and appointment data stored in the application's database.

Critical Impact

Authenticated attackers with administrative privileges can exploit this SQL Injection vulnerability to extract confidential information from the database, including patient records and appointment data.

Affected Products

  • SourceCodester Patient Appointment Scheduler System v1.0

Discovery Timeline

  • 2026-04-14 - CVE CVE-2026-37601 published to NVD
  • 2026-04-14 - Last updated in NVD database

Technical Details for CVE-2026-37601

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists within the Patient Appointment Scheduler System, specifically in the appointment management functionality. The vulnerable endpoint /scheduler/admin/appointments/manage_appointment.php fails to properly sanitize user-supplied input before incorporating it into SQL queries. This allows an attacker with administrative access to the system to craft malicious input that modifies the intended SQL query structure, potentially bypassing security controls and accessing data beyond their authorization scope.

The attack requires network access and authenticated administrative privileges, which limits the attack surface. However, once exploited, the vulnerability enables unauthorized read access to confidential database contents.

Root Cause

The root cause of this vulnerability is improper neutralization of special elements used in SQL commands (CWE-89). The application fails to implement proper input validation and parameterized queries in the manage_appointment.php file. User-controlled input is directly concatenated into SQL query strings without adequate sanitization or the use of prepared statements, allowing SQL metacharacters to alter query logic.

Attack Vector

The vulnerability is exploitable via the network (AV:N) and requires no user interaction. However, exploitation requires high-level privileges (PR:H), meaning the attacker must have administrative access to the Patient Appointment Scheduler System. Once authenticated, an attacker can inject SQL commands through vulnerable parameters in the appointment management interface.

The attack flow involves:

  1. Authenticating to the application with administrative credentials
  2. Navigating to the vulnerable appointment management endpoint
  3. Injecting SQL syntax into vulnerable input parameters
  4. Extracting confidential information through the manipulated query responses

For detailed technical information about the vulnerability, refer to the GitHub CVE Report.

Detection Methods for CVE-2026-37601

Indicators of Compromise

  • Unusual or malformed requests to /scheduler/admin/appointments/manage_appointment.php containing SQL syntax characters
  • Database query logs showing unexpected UNION SELECT, OR 1=1, or other SQL injection patterns
  • Abnormal data access patterns from administrative accounts
  • Error messages in application logs indicating SQL syntax errors

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns targeting the vulnerable endpoint
  • Monitor application and database logs for SQL injection signatures and anomalous query structures
  • Deploy database activity monitoring to detect unauthorized data access or extraction attempts
  • Configure intrusion detection systems to alert on common SQL injection payloads

Monitoring Recommendations

  • Enable detailed logging on the /scheduler/admin/appointments/manage_appointment.php endpoint
  • Implement real-time alerting for SQL error messages in application logs
  • Monitor database query execution times for anomalies that may indicate data exfiltration
  • Review administrative account activity for unusual patterns or access outside normal hours

How to Mitigate CVE-2026-37601

Immediate Actions Required

  • Restrict access to the administrative interface to trusted IP addresses only
  • Review and audit all administrative account access and credentials
  • Implement additional authentication controls for the appointment management functionality
  • Consider temporarily disabling the affected functionality until a patch is applied

Patch Information

No official vendor patch information is currently available. Organizations should monitor the GitHub CVE Report for updates and remediation guidance. Given the nature of SourceCodester applications as open-source educational projects, organizations using this software in production should implement immediate mitigations or consider migrating to a more actively maintained solution.

Workarounds

  • Implement prepared statements and parameterized queries in the manage_appointment.php file
  • Deploy a Web Application Firewall (WAF) with SQL injection protection rules
  • Apply input validation and sanitization to all user-supplied data before database queries
  • Restrict administrative access to the minimum number of trusted users necessary
  • Implement network segmentation to limit database server exposure
bash
# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attack Detected',\
    logdata:'Matched Data: %{TX.0}',\
    tag:'application-multi',\
    tag:'language-multi',\
    tag:'attack-sqli',\
    severity:'CRITICAL'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechSourcecodester Patient Appointment Scheduler

  • SeverityLOW

  • CVSS Score2.7

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-89
  • Technical References
  • GitHub CVE Report
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