Description
Sourcecodester Doctor Appointment System 1.0 is vulnerable to SQL Injection in the variable $userid at doctors\myDetails.php.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2023-45484 (CVE-2023-40945)
SQL Injection Vulnerability in Sourcecodester Doctor Appointment System 1.0
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Overview
EUVD-2023-45484 (CVE-2023-40945) describes a critical SQL Injection (SQLi) vulnerability in the Doctor Appointment System 1.0 developed by Sourcecodester. The flaw resides in the $userid parameter within the doctors\myDetails.php endpoint, allowing unauthenticated attackers to execute arbitrary SQL queries on the backend database.
CVSS 3.1 Severity Analysis
The vulnerability has been assigned a Base Score of 9.8 (Critical) with the following vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
| Metric | Value | Explanation |
|---|---|---|
| Attack Vector (AV) | Network (N) | Exploitable remotely over the internet. |
| Attack Complexity (AC) | Low (L) | No specialized conditions required; straightforward exploitation. |
| Privileges Required (PR) | None (N) | No authentication needed. |
| User Interaction (UI) | None (N) | No user interaction required. |
| Scope (S) | Unchanged (U) | Impact is confined to the vulnerable component. |
| Confidentiality (C) | High (H) | Full database access, including sensitive patient/doctor records. |
| Integrity (I) | High (H) | Ability to modify, delete, or insert malicious data. |
| Availability (A) | High (H) | Potential for database corruption or denial of service. |
Risk Classification
- Critical (9.8) – Immediate remediation is required due to the high likelihood of exploitation and severe impact.
- Exploitability: High (publicly available PoC, no authentication required).
- Impact: Severe (full database compromise, potential for lateral movement).
2. Potential Attack Vectors and Exploitation Methods
Exploitation Mechanism
The vulnerability stems from improper input sanitization in the $userid parameter, which is directly concatenated into an SQL query without parameterized queries or prepared statements.
Example Attack Scenario:
-
Unauthenticated Access:
- The
myDetails.phpendpoint does not enforce authentication, allowing attackers to send crafted HTTP requests.
- The
-
SQL Injection Payload:
- A malicious actor could inject SQL code via the
$useridparameter:GET /doctors/myDetails.php?userid=1' UNION SELECT 1,2,3,4,5,6,7,8,9,10,username,password,13,14 FROM users-- - HTTP/1.1 - This could extract sensitive data (e.g., usernames, passwords, patient records) from the database.
- A malicious actor could inject SQL code via the
-
Database Takeover:
- Depending on the DBMS (e.g., MySQL, PostgreSQL), attackers may:
- Dump entire databases (e.g.,
information_schema,users). - Execute OS commands (if
xp_cmdshellor similar functions are enabled). - Modify or delete records (e.g., altering appointment schedules, deleting patient data).
- Dump entire databases (e.g.,
- Depending on the DBMS (e.g., MySQL, PostgreSQL), attackers may:
-
Post-Exploitation:
- Lateral Movement: If credentials are obtained, attackers may pivot to other systems.
- Ransomware Deployment: Encrypting database records for extortion.
- Data Exfiltration: Stealing PHI (Protected Health Information) for sale on dark web markets.
Proof-of-Concept (PoC) Exploitation
A public PoC is available in the referenced GitHub repository (KLSEHB/vulnerability-report), demonstrating:
- Blind SQLi (time-based or boolean-based).
- Union-based SQLi for direct data extraction.
- Automated exploitation via tools like SQLmap.
3. Affected Systems and Software Versions
Vulnerable Software
- Product: Doctor Appointment System
- Vendor: Sourcecodester
- Version: 1.0 (all deployments)
- Component:
doctors/myDetails.php - Parameter:
$userid
Deployment Context
- Typical Use Case: Small to medium-sized healthcare providers (clinics, private practices).
- Backend Database: Likely MySQL or MariaDB (common in PHP-based systems).
- Hosting Environment: Often deployed on shared hosting (e.g., Apache/Nginx with PHP).
Indicators of Compromise (IoCs)
- Database Logs:
- Unusual SQL queries containing
UNION,SELECT,DROP, orEXEC. - Multiple failed login attempts with SQL syntax errors.
- Unusual SQL queries containing
- Web Server Logs:
- HTTP requests to
myDetails.phpwith malicious payloads (e.g.,' OR 1=1--). - Unusual outbound traffic (data exfiltration).
- HTTP requests to
4. Recommended Mitigation Strategies
Immediate Actions
-
Patch or Upgrade:
- Apply vendor-provided patches (if available).
- Upgrade to a non-vulnerable version (if released).
- Isolate the system if patching is not immediately possible.
-
Temporary Workarounds:
- Input Validation & Sanitization:
- Implement strict whitelisting for the
$useridparameter (e.g., only numeric values). - Use PHP’s
filter_var()or regular expressions to validate input.
- Implement strict whitelisting for the
- Web Application Firewall (WAF) Rules:
- Deploy ModSecurity with OWASP Core Rule Set (CRS) to block SQLi attempts.
- Configure rules to detect and block
UNION,SELECT,--,/*, and other SQLi patterns.
- Disable Error Messages:
- Prevent database error messages from leaking to attackers (e.g.,
display_errors = Offinphp.ini).
- Prevent database error messages from leaking to attackers (e.g.,
- Input Validation & Sanitization:
-
Secure Coding Practices (Long-Term Fix)
- Use Prepared Statements (Parameterized Queries):
// Vulnerable (concatenation-based query) $query = "SELECT * FROM doctors WHERE userid = '" . $_GET['userid'] . "'"; // Secure (prepared statement) $stmt = $pdo->prepare("SELECT * FROM doctors WHERE userid = :userid"); $stmt->execute(['userid' => $_GET['userid']]); - ORM (Object-Relational Mapping):
- Use frameworks like Laravel Eloquent or Doctrine to abstract SQL queries.
- Least Privilege Principle:
- Restrict database user permissions (e.g., no
DROP,ALTER, orFILEprivileges).
- Restrict database user permissions (e.g., no
- Use Prepared Statements (Parameterized Queries):
-
Network-Level Protections
- Segmentation: Isolate the application from internal networks.
- Rate Limiting: Prevent brute-force SQLi attempts.
- Logging & Monitoring:
- Enable database query logging (e.g., MySQL general log).
- Set up SIEM alerts for suspicious SQL activity.
5. Impact on the European Cybersecurity Landscape
Regulatory & Compliance Risks
- GDPR (General Data Protection Regulation):
- Article 32 (Security of Processing): Failure to mitigate SQLi may result in fines up to €20M or 4% of global revenue.
- Article 33 (Data Breach Notification): Mandatory reporting within 72 hours if PHI is compromised.
- NIS2 Directive (Network and Information Security):
- Healthcare providers are considered essential entities; non-compliance may lead to regulatory sanctions.
- ePrivacy Directive:
- Unauthorized access to patient data violates confidentiality requirements.
Threat Landscape in Europe
- Targeted Attacks on Healthcare:
- Healthcare remains a top target for cybercriminals (e.g., ransomware groups like LockBit, BlackCat).
- SQLi is a common initial access vector (e.g., 2023 NHS attacks).
- Supply Chain Risks:
- Sourcecodester’s software is widely used in small clinics and telemedicine platforms, increasing the attack surface.
- Exploitation by Nation-State Actors:
- APT groups (e.g., APT29, Turla) may exploit such vulnerabilities for espionage or disruption.
Broader Implications
- Patient Safety Risks:
- Manipulation of appointment records could lead to misdiagnosis or delayed treatment.
- Reputational Damage:
- Loss of trust in digital healthcare systems, leading to reduced adoption of telemedicine.
- Financial Costs:
- Incident response, legal fees, and regulatory fines can cripple small healthcare providers.
6. Technical Details for Security Professionals
Vulnerability Root Cause Analysis
-
Code Review Findings:
- The
myDetails.phpscript directly embeds user input into an SQL query without sanitization:$userid = $_GET['userid']; $query = "SELECT * FROM doctors WHERE userid = '$userid'"; $result = mysqli_query($conn, $query); - No input validation is performed, allowing arbitrary SQL injection.
- The
-
Database Impact:
- MySQL/MariaDB: Vulnerable to UNION-based, blind, and error-based SQLi.
- PostgreSQL: Similar risks, with additional command execution possibilities via
COPY FROM PROGRAM. - SQLite: Limited to data extraction and modification.
Exploitation Techniques
| Technique | Description | Example Payload |
|---|---|---|
| Union-Based SQLi | Extracts data by appending a UNION SELECT query. | 1' UNION SELECT 1,2,3,username,password FROM users-- - |
| Boolean-Based Blind SQLi | Infers data via true/false conditions. | 1' AND (SELECT SUBSTRING(password,1,1) FROM users WHERE username='admin')='a'-- - |
| Time-Based Blind SQLi | Delays response to confirm data. | 1' AND IF(1=1,SLEEP(5),0)-- - |
| Error-Based SQLi | Forces database errors to leak data. | 1' AND (SELECT 1 FROM (SELECT COUNT(*), CONCAT((SELECT username FROM users LIMIT 1), FLOOR(RAND(0)*2)) x FROM information_schema.tables GROUP BY x) y)-- - |
Detection & Forensics
- Log Analysis:
- Web Server Logs: Look for
GET /doctors/myDetails.php?userid=1' OR 1=1--. - Database Logs: Check for unusual queries (e.g.,
UNION SELECT,INFORMATION_SCHEMAaccess).
- Web Server Logs: Look for
- Network Traffic Analysis:
- Outbound data exfiltration (e.g., large responses containing database dumps).
- DNS exfiltration (if attackers use
LOAD_FILE()to read files).
- Memory Forensics:
- Volatility/Redline can detect in-memory SQLi payloads or malicious PHP processes.
Advanced Mitigation for Enterprises
- Runtime Application Self-Protection (RASP):
- Deploy RASP solutions (e.g., Contrast Security, Hdiv) to block SQLi at runtime.
- Database Activity Monitoring (DAM):
- Use IBM Guardium, Imperva DAM to detect and block anomalous queries.
- Zero Trust Architecture:
- Micro-segmentation to limit lateral movement.
- Continuous authentication for database access.
Conclusion & Recommendations
Key Takeaways
- EUVD-2023-45484 (CVE-2023-40945) is a critical SQL Injection vulnerability with high exploitability and severe impact.
- Unauthenticated attackers can fully compromise the database, leading to data theft, manipulation, or ransomware deployment.
- Healthcare providers in Europe are at high risk due to GDPR and NIS2 compliance requirements.
Action Plan for Organizations
| Priority | Action | Responsible Party |
|---|---|---|
| Critical (Immediate) | Apply vendor patch or implement WAF rules. | IT Security Team |
| High (Within 7 Days) | Conduct a vulnerability scan and penetration test. | Security Operations |
| Medium (Within 30 Days) | Review and enforce secure coding practices. | Development Team |
| Long-Term | Implement RASP, DAM, and Zero Trust controls. | CISO / Security Leadership |
Final Recommendation
Given the critical severity and publicly available PoC, organizations using Doctor Appointment System 1.0 must immediately apply mitigations to prevent exploitation. Proactive monitoring, patch management, and secure coding practices are essential to reducing risk in the European healthcare sector.
References: