CVE-2024-10969
📋 TL;DR
This critical SQL injection vulnerability in the Bookstore Management System 1.0 allows attackers to manipulate login credentials to execute arbitrary SQL commands. It affects the admin login functionality and can be exploited remotely without authentication. Organizations using this software are at risk of data breaches and system compromise.
💻 Affected Systems
- 1000 Projects Bookstore Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, privilege escalation to admin, and potential remote code execution on the server.
Likely Case
Unauthorized access to admin panel, extraction of sensitive user data (credentials, personal information), and potential system takeover.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages or failed login attempts.
🎯 Exploit Status
Exploit details are publicly available on GitHub and vuldb. SQL injection via unm/pwd parameters is straightforward.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://1000projects.org/
Restart Required: No
Instructions:
No official patch available. Consider migrating to a supported alternative or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd parameterized queries or input sanitization to login_process.php
Modify /admin/login_process.php to use prepared statements with PDO or mysqli
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns
Add WAF rule: deny requests with SQL keywords in unm/pwd parameters
🧯 If You Can't Patch
- Isolate the system from internet access and restrict to internal network only
- Implement strict network segmentation and monitor all access to /admin/login_process.php
🔍 How to Verify
Check if Vulnerable:
Test login with SQL injection payloads like ' OR '1'='1 in username/password fields
Check Version:
Check software version in admin panel or configuration files
Verify Fix Applied:
Verify that SQL injection attempts return proper error handling or fail authentication
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in web server logs
- Multiple failed login attempts with SQL patterns
Network Indicators:
- HTTP POST requests to /admin/login_process.php with SQL keywords
SIEM Query:
source="web_logs" AND uri="/admin/login_process.php" AND (request CONTAINS "OR" OR request CONTAINS "UNION" OR request CONTAINS "SELECT")