CVE-2025-10833
📋 TL;DR
CVE-2025-10833 is an SQL injection vulnerability in the 1000projects Bookstore Management System 1.0 login.php file that allows remote attackers to execute arbitrary SQL commands via the 'unm' parameter. This affects all deployments of version 1.0 of this software. Attackers can potentially bypass authentication, access sensitive data, or compromise the database.
💻 Affected Systems
- 1000projects Bookstore Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, privilege escalation, and potential remote code execution if database functions allow it.
Likely Case
Authentication bypass allowing unauthorized access to the bookstore management system, followed by data exfiltration or system manipulation.
If Mitigated
Limited impact if proper input validation and WAF rules block SQL injection attempts, though the vulnerability remains present.
🎯 Exploit Status
The exploit has been publicly disclosed on GitHub, making it easily accessible to attackers. SQL injection via login forms is a well-understood attack vector.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None found in provided references
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd parameterized queries or prepared statements to login.php to prevent SQL injection
Modify login.php to use PDO or mysqli prepared statements for database queries
Web Application Firewall Rules
allImplement WAF rules to block SQL injection patterns targeting the unm parameter
Add rule: 'SecRule ARGS:unm "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQLi attempt on unm parameter'"' for ModSecurity
🧯 If You Can't Patch
- Isolate the system behind a reverse proxy with strict input validation
- Implement network segmentation to limit database access from the web server
🔍 How to Verify
Check if Vulnerable:
Test the login.php endpoint with SQL injection payloads in the unm parameter (e.g., ' OR '1'='1)Check Version:
Check the software version in the application interface or configuration filesVerify Fix Applied:
Attempt SQL injection tests after implementing fixes; successful queries should be blocked or sanitized📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in web server logs
- Multiple failed login attempts with SQL patterns in parameters
- Successful logins from unexpected IPs
Network Indicators:
- HTTP requests to login.php containing SQL keywords in unm parameter
- Unusual database query patterns from web server
SIEM Query:
source="web_logs" AND uri="/login.php" AND (unm="*OR*" OR unm="*UNION*" OR unm="*SELECT*" OR unm="*--*")