CVE-2018-11535
📋 TL;DR
CVE-2018-11535 is a SQL injection vulnerability in SITEMAKIN SLAC v1.0 that allows attackers to execute arbitrary SQL commands via the 'my_item_search' parameter in users.php. This affects all users running the vulnerable version of SITEMAKIN SLAC, potentially compromising database integrity and confidentiality.
💻 Affected Systems
- SITEMAKIN SLAC (Site Login and Access Control)
📦 What is this software?
Slac by Sitemakin
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data manipulation, or full system takeover via SQL injection to RCE chaining.
Likely Case
Unauthorized data access, extraction of sensitive information like user credentials, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
Public exploit code is available, making exploitation trivial for attackers.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: No official vendor advisory found
Restart Required: No
Instructions:
No official patch available. Consider upgrading to a newer version if available or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for the 'my_item_search' parameter.
Modify users.php to use prepared statements: $stmt = $pdo->prepare('SELECT * FROM users WHERE item LIKE ?'); $stmt->execute([$search]);
Web Application Firewall (WAF)
allDeploy a WAF to block SQL injection attempts targeting the vulnerable parameter.
🧯 If You Can't Patch
- Isolate the affected system from the internet and restrict access to authorized users only.
- Implement network segmentation to limit the blast radius if exploitation occurs.
🔍 How to Verify
Check if Vulnerable:
Check if SITEMAKIN SLAC v1.0 is installed and review users.php for unsanitized 'my_item_search' parameter usage.
Check Version:
Check the software version in the application's admin panel or configuration files.
Verify Fix Applied:
Test the 'my_item_search' parameter with SQL injection payloads to ensure they are blocked or sanitized.
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in application logs
- Multiple failed login attempts or parameter manipulation in access logs
Network Indicators:
- HTTP requests with SQL injection payloads in the 'my_item_search' parameter
SIEM Query:
source="web_logs" AND (url="*users.php*" AND param="*my_item_search*" AND value="*' OR *")