CVE-2023-29881
📋 TL;DR
CVE-2023-29881 is an SQL injection vulnerability in phpok 6.4.003 that allows attackers to execute arbitrary SQL commands through the index_f() function. This affects all users running the vulnerable version of phpok, potentially leading to data theft, modification, or deletion.
💻 Affected Systems
- phpok
📦 What is this software?
Phpok by Phpok
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data exfiltration, data destruction, or privilege escalation leading to full system takeover.
Likely Case
Unauthorized data access, data manipulation, or extraction of sensitive information from the database.
If Mitigated
Limited impact with proper input validation, parameterized queries, and database permission restrictions in place.
🎯 Exploit Status
SQL injection vulnerabilities are commonly exploited and weaponized tools likely exist
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 6.4.004 or later
Vendor Advisory: https://github.com/qinggan/phpok/issues/15
Restart Required: No
Instructions:
1. Backup your current installation. 2. Download the latest version from the official repository. 3. Replace vulnerable files with patched versions. 4. Test functionality.
🔧 Temporary Workarounds
Input Validation Filter
allAdd input validation to sanitize user inputs before processing
Modify phpok64/framework/api/call_control.php to validate and sanitize all user inputs
WAF Rule Implementation
allDeploy web application firewall rules to block SQL injection patterns
Add WAF rules to detect and block SQL injection attempts
🧯 If You Can't Patch
- Implement strict input validation and parameterized queries in the vulnerable function
- Restrict database user permissions to minimum required access
🔍 How to Verify
Check if Vulnerable:
Check if running phpok version 6.4.003 and examine the index_f() function in call_control.php for lack of input sanitizationCheck Version:
Check phpok configuration files or admin panel for version informationVerify Fix Applied:
Verify version is 6.4.004 or later and test SQL injection attempts are properly blocked📡 Detection & Monitoring
Log Indicators:
- Unusual database queries
- SQL syntax errors in logs
- Multiple failed login attempts from same IP
Network Indicators:
- SQL keywords in HTTP requests
- Unusual parameter values in API calls
SIEM Query:
source="web_logs" AND ("UNION" OR "SELECT" OR "INSERT" OR "UPDATE" OR "DELETE" OR "DROP" OR "--" OR "' OR '1'='1")