CVE-2022-30113
📋 TL;DR
Electronic Mall System 1.0_build20200203 contains a SQL injection vulnerability (CWE-89) that allows attackers to execute arbitrary SQL commands through user inputs. This affects all deployments of this specific software version. Attackers can potentially access, modify, or delete database content.
💻 Affected Systems
- Electronic Mall System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, authentication bypass, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized data access, privilege escalation, and data manipulation through SQL injection attacks.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing successful exploitation.
🎯 Exploit Status
SQL injection vulnerabilities are commonly exploited with readily available tools. The high CVSS score suggests easy exploitation.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: No official vendor advisory found
Restart Required: No
Instructions:
1. Check vendor website for updated version
2. If no patch available, implement workarounds
3. Consider migrating to alternative software
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests
Input Validation
allImplement strict input validation and parameterized queries in application code
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement network segmentation to limit potential lateral movement
🔍 How to Verify
Check if Vulnerable:
Test user input fields for SQL injection using tools like sqlmap or manual testing with SQL payloadsCheck Version:
Check application version in admin panel or configuration filesVerify Fix Applied:
Retest the same input fields after implementing fixes to confirm SQL injection is no longer possible📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL syntax
- Unexpected database queries
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, etc.)
- Abnormal database connection patterns
SIEM Query:
source="web_logs" AND ("SQL syntax" OR "union select" OR "' OR '1'='1")