CVE-2025-0165
📋 TL;DR
This SQL injection vulnerability in IBM watsonx Orchestrate Cartridge allows remote attackers to execute arbitrary SQL commands against the back-end database. Affected organizations using IBM Cloud Pak for Data versions 4.8.4-4.8.5 and 5.0.0-5.2.0 could have their database contents viewed, modified, or deleted.
💻 Affected Systems
- IBM watsonx Orchestrate Cartridge for IBM Cloud Pak for Data
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, privilege escalation, and potential lateral movement to other systems.
Likely Case
Data exfiltration or unauthorized modification of business-critical data stored in the database.
If Mitigated
Limited impact due to database permissions, network segmentation, or input validation controls.
🎯 Exploit Status
SQL injection vulnerabilities are typically easy to exploit with standard tools like sqlmap.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Apply fixes as specified in IBM Security Bulletin
Vendor Advisory: https://www.ibm.com/support/pages/node/7243596
Restart Required: Yes
Instructions:
1. Review IBM Security Bulletin
2. Apply recommended fix for your version
3. Restart affected services
4. Verify fix implementation
🔧 Temporary Workarounds
Network Segmentation
allRestrict network access to vulnerable systems
Web Application Firewall
allDeploy WAF with SQL injection protection rules
🧯 If You Can't Patch
- Implement strict network access controls to limit exposure
- Deploy database activity monitoring and alerting
🔍 How to Verify
Check if Vulnerable:
Check IBM Cloud Pak for Data version and cartridge version against affected versions listCheck Version:
Check IBM Cloud Pak for Data administration console or deployment manifestsVerify Fix Applied:
Verify updated version number and test SQL injection vectors📡 Detection & Monitoring
Log Indicators:
- Unusual database queries
- SQL syntax errors in application logs
- Multiple failed login attempts with SQL patterns
Network Indicators:
- Unusual database connection patterns
- SQL keywords in HTTP requests
SIEM Query:
search 'sql' OR 'union' OR 'select' in web request logs