CVE-2023-3490
📋 TL;DR
This SQL injection vulnerability in fossbilling allows attackers to execute arbitrary SQL commands through the application. It affects all users running fossbilling versions prior to 0.5.3, potentially compromising database integrity and confidentiality.
💻 Affected Systems
- fossbilling
📦 What is this software?
Fossbilling by Fossbilling
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, privilege escalation, and potential remote code execution via database functions.
Likely Case
Unauthorized data access, data modification, and potential authentication bypass leading to account takeover.
If Mitigated
Limited impact with proper input validation, parameterized queries, and database permission restrictions in place.
🎯 Exploit Status
SQL injection vulnerabilities are commonly exploited with automated tools. The fix commit shows specific vulnerable parameters.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 0.5.3
Vendor Advisory: https://github.com/fossbilling/fossbilling/commit/2ddb7438ee0d05f9a9d01555edcfed820960f114
Restart Required: Yes
Instructions:
1. Backup your database and application files. 2. Update to fossbilling version 0.5.3 or later via git pull or package update. 3. Restart the web server/service. 4. Verify the fix by checking the version.
🔧 Temporary Workarounds
Input Validation Filter
allImplement strict input validation for all user-supplied parameters in the application
Web Application Firewall
allDeploy WAF with SQL injection protection rules
🧯 If You Can't Patch
- Implement network segmentation to isolate the fossbilling instance
- Restrict database user permissions to minimum required privileges
🔍 How to Verify
Check if Vulnerable:
Check if running fossbilling version earlier than 0.5.3Check Version:
Check version in admin panel or application configuration filesVerify Fix Applied:
Confirm version is 0.5.3 or later and test vulnerable endpoints with safe payloads📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in application logs
- Multiple failed login attempts with SQL-like patterns
- Database error messages in web logs
Network Indicators:
- Unusual database connection patterns
- SQL keywords in HTTP parameters
SIEM Query:
source="web_logs" AND ("SQL syntax" OR "database error" OR "unexpected token")🔗 References
- https://github.com/fossbilling/fossbilling/commit/2ddb7438ee0d05f9a9d01555edcfed820960f114
- https://huntr.dev/bounties/4e60ebc1-e00f-48cb-b011-3cefce688ecd
- https://github.com/fossbilling/fossbilling/commit/2ddb7438ee0d05f9a9d01555edcfed820960f114
- https://huntr.dev/bounties/4e60ebc1-e00f-48cb-b011-3cefce688ecd
