CVE-2024-30990
📋 TL;DR
This CVE describes a critical SQL injection vulnerability in the Invoices page of phpgurukul Client Management System. Attackers can execute arbitrary SQL commands via the 'searchdata' parameter, potentially compromising the entire database. All users running the vulnerable version are affected.
💻 Affected Systems
- phpgurukul Client Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential remote code execution via database functions.
Likely Case
Unauthorized data access, extraction of sensitive client information, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
SQL injection via GET/POST parameter requires minimal technical skill to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch available. Implement workarounds or migrate to alternative software.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd server-side validation to sanitize searchdata parameter before processing
Modify PHP code to use prepared statements: $stmt = $conn->prepare('SELECT * FROM invoices WHERE column LIKE ?'); $stmt->bind_param('s', $searchdata); $stmt->execute();
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns in searchdata parameter
Add WAF rule: SecRule ARGS:searchdata "@detectSQLi" "id:1001,phase:2,deny,status:403"
🧯 If You Can't Patch
- Disable or restrict access to the Invoices page functionality
- Implement network segmentation to isolate the vulnerable system from sensitive data
🔍 How to Verify
Check if Vulnerable:
Test the Invoices page search functionality with SQL injection payloads like: searchdata=' OR '1'='1Check Version:
Check system documentation or configuration files for version informationVerify Fix Applied:
Attempt SQL injection payloads and verify they are properly sanitized or blocked📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts after search operations
- Suspicious search patterns containing SQL keywords
Network Indicators:
- HTTP requests with SQL injection patterns in searchdata parameter
- Unusual database connection patterns from web server
SIEM Query:
source="web_logs" AND (searchdata="*OR*" OR searchdata="*UNION*" OR searchdata="*SELECT*" OR searchdata="*--*" OR searchdata="*;*")