CVE-2022-48594
📋 TL;DR
This SQL injection vulnerability in ScienceLogic SL1's ticket watchers email feature allows attackers to execute arbitrary SQL commands by injecting malicious input. Attackers could potentially read, modify, or delete database contents, affecting all ScienceLogic SL1 users with vulnerable versions.
💻 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 SQL injection to RCE chaining.
Likely Case
Unauthorized data access, privilege escalation, or data manipulation in the SL1 database.
If Mitigated
Limited impact with proper input validation and database permissions restricting damage scope.
🎯 Exploit Status
Requires authentication to access the vulnerable feature; SQL injection is a well-understood attack vector with many available tools.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 11.3.2 and later
Vendor Advisory: https://www.sciencelogic.com/
Restart Required: Yes
Instructions:
1. Backup your SL1 database and configuration. 2. Download and install SL1 version 11.3.2 or later from ScienceLogic support portal. 3. Follow ScienceLogic's upgrade documentation for your specific deployment. 4. Restart SL1 services after upgrade completion.
🔧 Temporary Workarounds
Disable ticket watchers email feature
allTemporarily disable the vulnerable feature until patching is possible
Implement WAF rules
allDeploy web application firewall rules to block SQL injection patterns
🧯 If You Can't Patch
- Restrict network access to SL1 web interface to trusted IPs only
- Implement strict database permissions and monitor for unusual SQL queries
🔍 How to Verify
Check if Vulnerable:
Check SL1 version via web interface admin panel or command line: sl1 --versionCheck Version:
sl1 --versionVerify Fix Applied:
Confirm version is 11.3.2 or later and test ticket watchers email feature with SQL injection test payloads📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts followed by ticket watchers feature access
- SQL syntax errors in application logs
Network Indicators:
- HTTP POST requests to ticket watchers endpoint containing SQL keywords
- Unusual database connection patterns
SIEM Query:
source="sl1_logs" AND ("UNION" OR "SELECT" OR "INSERT" OR "DELETE" OR "DROP") AND "ticket_watchers"