CVE-2023-1578
📋 TL;DR
This CVE describes an SQL injection vulnerability in Pimcore, an open-source content management platform. Attackers can inject malicious SQL queries through user inputs, potentially accessing or manipulating database content. All Pimcore installations prior to version 10.5.19 are affected.
💻 Affected Systems
- Pimcore
📦 What is this software?
Pimcore by Pimcore
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, or potential remote code execution via database functions.
Likely Case
Unauthorized data access, data modification, or privilege escalation within the application.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
SQL injection vulnerabilities are commonly exploited; proof-of-concept details are available in public references.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 10.5.19
Vendor Advisory: https://github.com/pimcore/pimcore/commit/367b74488808d71ec3f66f4ca9e8df5217c2c8d2
Restart Required: No
Instructions:
1. Update Pimcore to version 10.5.19 or later. 2. Use Composer: composer require pimcore/pimcore:^10.5.19. 3. Clear cache and verify update.
🔧 Temporary Workarounds
Input Validation Filter
allImplement strict input validation and sanitization for all user inputs before database queries.
WAF Rule
allDeploy web application firewall rules to block SQL injection patterns.
🧯 If You Can't Patch
- Implement parameterized queries/prepared statements for all database interactions.
- Restrict database user permissions to minimum required access.
🔍 How to Verify
Check if Vulnerable:
Check Pimcore version via admin interface or composer.json; versions below 10.5.19 are vulnerable.Check Version:
composer show pimcore/pimcore | grep versionVerify Fix Applied:
Confirm version is 10.5.19 or higher and test affected functionality with SQL injection test payloads.📡 Detection & Monitoring
Log Indicators:
- Unusual database query patterns
- SQL syntax errors in application logs
- Multiple failed login attempts with SQL payloads
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, etc.) in parameters
SIEM Query:
source="web_logs" AND ("SELECT" OR "UNION" OR "OR 1=1") AND status=200