CVE-2022-48590
📋 TL;DR
This SQL injection vulnerability in ScienceLogic SL1 allows attackers to execute arbitrary SQL commands through the admin dynamic app mib errors feature. Attackers could potentially access, modify, or delete database contents. Organizations using vulnerable versions of ScienceLogic SL1 are affected.
💻 Affected Systems
- ScienceLogic SL1
📦 What is this software?
Sl1 by Sciencelogic
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, or full system takeover via subsequent attacks.
Likely Case
Unauthorized data access, privilege escalation, or configuration changes within the SL1 system.
If Mitigated
Limited impact with proper input validation and database permissions restricting damage scope.
🎯 Exploit Status
SQL injection vulnerabilities are typically easy to exploit with basic tools once the attack vector is identified.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Check ScienceLogic security advisories for specific patched versions
Vendor Advisory: https://www.sciencelogic.com/security-advisories
Restart Required: Yes
Instructions:
1. Check ScienceLogic security advisory for CVE-2022-48590. 2. Apply the recommended patch/update. 3. Restart SL1 services. 4. Verify the fix.
🔧 Temporary Workarounds
Disable vulnerable feature
linuxTemporarily disable the admin dynamic app mib errors feature if not required
Feature-specific disable commands would depend on SL1 configuration
Network segmentation
linuxRestrict access to SL1 admin interface to trusted networks only
iptables -A INPUT -p tcp --dport [SL1_PORT] -s [TRUSTED_NETWORK] -j ACCEPT
iptables -A INPUT -p tcp --dport [SL1_PORT] -j DROP
🧯 If You Can't Patch
- Implement strict input validation and parameterized queries at application layer
- Apply database-level controls: minimal privileges, query logging, and regular audit trails
🔍 How to Verify
Check if Vulnerable:
Check SL1 version against ScienceLogic security advisory for CVE-2022-48590Check Version:
Check SL1 web interface admin panel or consult SL1 documentation for version check commandVerify Fix Applied:
Verify SL1 version is updated beyond vulnerable versions listed in advisory📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts followed by SQL error patterns
- Unexpected database schema changes
Network Indicators:
- Unusual SQL syntax in HTTP POST requests to admin endpoints
- Traffic patterns suggesting SQL injection tools
SIEM Query:
source="sl1_logs" AND ("sql" OR "database") AND ("error" OR "injection" OR "syntax")