CVE-2025-0943
📋 TL;DR
CVE-2025-0943 is a critical SQL injection vulnerability in Tailoring Management System 1.0 that allows remote attackers to execute arbitrary SQL commands via the 'id' parameter in deldoc.php. This affects all deployments of the vulnerable software version. Attackers can potentially access, modify, or delete database content.
💻 Affected Systems
- Tailoring Management System
📦 What is this software?
Tailoring Management System by Angeljudesuarez
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, or full system takeover via SQL injection to RCE chaining.
Likely Case
Unauthorized database access allowing data exfiltration, privilege escalation, or application disruption.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
Exploit details are publicly available on GitHub. The vulnerability requires minimal technical skill to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://itsourcecode.com/
Restart Required: No
Instructions:
1. Check vendor website for updates. 2. If no patch available, implement workarounds. 3. Consider migrating to alternative software.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns targeting deldoc.php
Input Validation Filter
allAdd server-side validation to only accept numeric values for 'id' parameter
// PHP example: if(!is_numeric($_GET['id'])) { die('Invalid input'); }
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement database-level protections like stored procedures with parameterized queries
🔍 How to Verify
Check if Vulnerable:
Test deldoc.php with SQL injection payloads in the 'id' parameter (e.g., id=1' OR '1'='1)
Check Version:
Check application version in admin panel or source code files
Verify Fix Applied:
Verify that SQL injection attempts no longer succeed and return appropriate error messages
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed requests to deldoc.php with SQL syntax
Network Indicators:
- HTTP requests to deldoc.php containing SQL keywords (SELECT, UNION, etc.)
SIEM Query:
source="web_logs" AND uri="*deldoc.php*" AND (query="*SELECT*" OR query="*UNION*" OR query="*OR '1'='1*")