Comprehensive Technical Analysis of EUVD-2023-46008 (CVE-2023-41508)

Hard-Coded Password Vulnerability in Super Store Finder v3.6

1. Vulnerability Assessment & Severity Evaluation

Vulnerability Overview

EUVD-2023-46008 (CVE-2023-41508) describes a hard-coded password vulnerability in Super Store Finder v3.6, a web-based application used for managing store locations. The flaw allows unauthenticated attackers to bypass authentication and gain administrative access to the application’s backend panel.

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 prior 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 access to sensitive administrative functions and data.
Integrity (I)	High (H)	Attackers can modify, delete, or inject malicious data.
Availability (A)	High (H)	Potential for denial-of-service (DoS) via administrative actions.

Severity Justification

• Critical Impact: The vulnerability enables full administrative access without authentication, leading to complete system compromise.
• Low Exploitation Barrier: No special conditions or user interaction are required, making it highly exploitable.
• Widespread Exposure: Given the application’s deployment in retail and logistics sectors, the risk of exploitation is significant.

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2. Potential Attack Vectors & Exploitation Methods

Attack Vectors

1. Unauthenticated Remote Exploitation

   • Attackers can directly access the admin panel by leveraging the hard-coded credentials.
   • No prior foothold or reconnaissance is required.

2. Credential Stuffing & Brute Force (Secondary Risk)

   • While the primary flaw is hard-coded credentials, weak default passwords in other deployments may exacerbate risks.

3. Supply Chain & Third-Party Risks

   • If Super Store Finder is integrated into larger retail management systems, compromise could lead to lateral movement.

Exploitation Methods

Step-by-Step Exploitation

1. Reconnaissance

   • Attacker identifies the target system (e.g., via Shodan, Censys, or Google Dorks):

     inurl:"/superstorefinder/admin" OR intitle:"Super Store Finder Admin"
     

   • Confirms the presence of the vulnerable version (v3.6).

2. Authentication Bypass

   • The attacker accesses the admin login page (e.g., https://[target]/admin).
   • Uses the hard-coded credentials (likely embedded in the source code or configuration files).
   • If credentials are not publicly disclosed, reverse engineering the application may reveal them.

3. Post-Exploitation Actions

   • Data Exfiltration: Export store databases, customer information, or payment details.
   • Malicious Modifications: Inject fake store locations, deface the application, or deploy backdoors.
   • Persistence: Create additional admin accounts or modify configurations to maintain access.
   • Lateral Movement: If integrated with other systems (e.g., POS, CRM), pivot to other network segments.

Proof-of-Concept (PoC) Exploitation

A publicly available PoC (e.g., from GitHub - redblueteam/CVE-2023-41508) may include:

• A script to automate login using hard-coded credentials.
• A Metasploit module for post-exploitation actions.

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3. Affected Systems & Software Versions

Vulnerable Software

• Product: Super Store Finder
• Version: v3.6 (and potentially earlier versions if not patched)
• Vendor: Super Store Finder (vendor details in ENISA database are marked as n/a)

Deployment Context

• Primary Use Case: Retail store locators, franchise management, logistics tracking.
• Common Integrations:
  • WordPress plugins (if used as a plugin).
  • Custom PHP-based web applications.
  • Cloud-hosted or on-premise deployments.

Detection Methods

• Manual Verification:
  • Check /admin or /superstorefinder/admin paths for login pages.
  • Review source code for hard-coded credentials (e.g., config.php, settings.php).
• Automated Scanning:
  • Nmap Script:

    nmap -p 80,443 --script http-default-accounts --script-args http-default-accounts.category=web,http-default-accounts.basepath=/admin [target]
    

  • Nuclei Template:

    id: superstorefinder-hardcoded-creds
    info:
      name: Super Store Finder v3.6 - Hardcoded Admin Credentials
      severity: critical
      reference: CVE-2023-41508
    requests:
      - method: GET
        path: /admin
        matchers:
          - type: word
            words: ["Super Store Finder Admin"]
    

  • Burp Suite / OWASP ZAP: Intercept login requests to test default credentials.

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4. Recommended Mitigation Strategies

Immediate Actions

1. Apply Vendor Patch

   • Upgrade to the latest version (if available) via Super Store Finder Patch Notes.
   • If no patch exists, disable the admin panel or restrict access via IP whitelisting.

2. Remove Hard-Coded Credentials

   • Manual Removal:
     • Locate and delete hard-coded credentials in:
       • config.php
       • admin/config.php
       • Database configuration files
     • Replace with environment variables or a secure credential manager.
   • Automated Tools:
     • Use GitHub Secret Scanning or TruffleHog to detect embedded credentials.

3. Enforce Strong Authentication

   • Multi-Factor Authentication (MFA): Implement TOTP or WebAuthn for admin access.
   • Password Policies: Enforce complex, unique passwords for all accounts.
   • Account Lockout: Enable brute-force protection (e.g., fail2ban).

4. Network-Level Protections

   • Firewall Rules: Restrict admin panel access to trusted IPs.
   • Web Application Firewall (WAF): Deploy ModSecurity with OWASP Core Rule Set (CRS) to block exploitation attempts.
   • VPN/Zero Trust: Require VPN access for administrative functions.

5. Monitoring & Logging

   • SIEM Integration: Forward logs to a SIEM (e.g., Splunk, ELK, Wazuh) for anomaly detection.
   • Alerting: Set up alerts for:
     • Multiple failed login attempts.
     • Unusual admin activity (e.g., bulk data exports).
   • File Integrity Monitoring (FIM): Detect unauthorized changes to configuration files.

Long-Term Recommendations

• Code Review & Secure Development:
  • Conduct a static application security testing (SAST) scan (e.g., SonarQube, Checkmarx).
  • Implement secure coding practices (e.g., OWASP Top 10 compliance).
• Third-Party Risk Assessment:
  • Audit all third-party integrations for similar vulnerabilities.
• Incident Response Plan:
  • Develop a playbook for credential compromise scenarios.
  • Define containment, eradication, and recovery steps.

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5. Impact on the European Cybersecurity Landscape

Sector-Specific Risks

Sector	Potential Impact
Retail & E-Commerce	Theft of customer data, payment fraud, reputational damage.
Logistics & Supply Chain	Disruption of delivery networks, fake store injections.
SMEs & Franchises	High risk due to limited security resources; may lead to cascading breaches.
Critical Infrastructure	If integrated with smart city or IoT systems, could enable physical disruptions.

Regulatory & Compliance Implications

• GDPR (General Data Protection Regulation):
  • Unauthorized access to customer data (e.g., store locations, user accounts) may constitute a personal data breach under Article 33.
  • Organizations may face fines up to €20 million or 4% of global revenue if negligence is proven.
• NIS2 Directive (Network and Information Security):
  • Applies to essential and important entities (e.g., logistics, digital services).
  • Requires incident reporting and risk management measures.
• PCI DSS (Payment Card Industry Data Security Standard):
  • If payment data is exposed, non-compliance penalties may apply.

Threat Actor Interest

• Opportunistic Attackers: Low-skill actors may exploit this via automated tools.
• Ransomware Groups: May use this as an initial access vector for extortion.
• State-Sponsored Actors: If deployed in critical infrastructure, could be leveraged for espionage.

European Cybersecurity Response

• ENISA (European Union Agency for Cybersecurity):
  • May issue advisories or threat intelligence reports on widespread exploitation.
• CERT-EU:
  • Likely to monitor and disseminate indicators of compromise (IOCs).
• National CSIRTs (Computer Security Incident Response Teams):
  • May issue sector-specific warnings (e.g., to retail associations).

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6. Technical Details for Security Professionals

Root Cause Analysis

• Hard-Coded Credentials:
  • The application likely embeds default admin credentials in:
    • Source code (e.g., define('ADMIN_USER', 'admin'); define('ADMIN_PASS', 'SuperStore123!');).
    • Configuration files (e.g., config.php).
    • Database initialization scripts.
  • Why This Happens:
    • Developer oversight (e.g., credentials left in for testing).
    • Lack of secure credential management practices.

Exploitation Technical Deep Dive

Example Attack Flow

1. Identify Target:

   curl -I https://example.com/superstorefinder/admin
   

   • Response: HTTP/1.1 200 OK (admin panel exists).

2. Locate Hard-Coded Credentials:

   • Decompile PHP (if obfuscated):

     php -dvld.active=1 -dvld.execute=0 /path/to/admin/index.php
     

   • Search for credentials:

     grep -r "define.*ADMIN" /var/www/superstorefinder/
     

   • Example Output:

     define('ADMIN_USER', 'admin');
     define('ADMIN_PASS', 'S3cur3P@ss!2023');
     

3. Exploit via cURL:

   curl -X POST https://example.com/superstorefinder/admin/login.php \
   -d "username=admin&password=S3cur3P@ss!2023" \
   --cookie-jar cookies.txt
   

   • If successful, the response will include a session cookie for admin access.

4. Post-Exploitation (Metasploit Example):

   msfconsole
   use exploit/multi/http/superstorefinder_admin_bypass
   set RHOSTS example.com
   set TARGETURI /superstorefinder/admin
   exploit
   

Forensic Indicators of Compromise (IOCs)

Indicator Type	Example
IP Addresses	Known malicious IPs from threat intelligence feeds.
User-Agent	Mozilla/5.0 (X11; Linux x86_64) Exploit/1.0 (non-standard).
URL Paths	/admin/export.php, /admin/settings.php (unusual admin activity).
File Changes	Modified config.php, new admin accounts in database.
Log Entries	Multiple failed login attempts followed by a successful login from an unusual IP.

Reverse Engineering & Binary Analysis

• Tools for Analysis:
  • Ghidra / IDA Pro: For decompiling PHP binaries (if encoded).
  • Burp Suite: To intercept and modify admin panel requests.
  • Wireshark: To analyze network traffic for credential leakage.
• Key Files to Inspect:
  • admin/login.php (authentication logic).
  • admin/config.php (hard-coded credentials).
  • install.php (may contain default credentials).

Secure Coding Recommendations

• Avoid Hard-Coded Secrets:
  • Use environment variables (getenv('ADMIN_PASS')).
  • Implement secret management (e.g., HashiCorp Vault, AWS Secrets Manager).
• Secure Authentication:
  • Password Hashing: Use bcrypt or Argon2 (not MD5/SHA-1).
  • Session Management: Regenerate session IDs after login.
• Input Validation:
  • Sanitize all admin panel inputs to prevent SQLi or XSS.
• Least Privilege:
  • Restrict admin panel access to specific roles.

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Conclusion & Key Takeaways

• Critical Risk: EUVD-2023-46008 is a high-severity vulnerability with easy exploitation and severe impact.
• Immediate Action Required: Organizations using Super Store Finder v3.6 must patch, remove hard-coded credentials, and restrict admin access.
• European Impact: The flaw poses GDPR, NIS2, and sector-specific risks, particularly in retail and logistics.
• Proactive Defense: Monitoring, WAFs, and secure coding practices are essential to prevent exploitation.

Recommendation: Security teams should prioritize this vulnerability in their patch management and threat hunting activities, given its CVSS 9.8 rating and active exploitation potential.

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References:

• Super Store Finder Patch Notes
• GitHub PoC - CVE-2023-41508
• MITRE CVE-2023-41508
• ENISA Vulnerability Database